| Trait Information | |
| Identifier | OBA_VT0000217 |
| Description | The amount of a leukocyte. [AUTO: patterns/patterns/entity_attribute] | Trait category |
Other measurement
|
| Synonym | amount of leukocyte |
| Child trait(s) | 2 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) |
|---|---|---|---|---|---|---|
| PGS000097 (lymph) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Lymphocyte count | lymphocyte count | 24,646 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000097/ScoringFiles/PGS000097.txt.gz | |
| PGS000098 (lymph_p) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Lymphocyte percentage of white cells | lymphocyte percentage of leukocytes | 22,363 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000098/ScoringFiles/PGS000098.txt.gz | |
| PGS000113 (wbc) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
White blood cell count | leukocyte quantity | 28,383 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000113/ScoringFiles/PGS000113.txt.gz | |
| PGS000172 (lymph) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Lymphocyte count | lymphocyte count | 621 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000172/ScoringFiles/PGS000172.txt.gz |
| PGS000173 (lymph_p) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Lymphocyte percentage of white cells | lymphocyte percentage of leukocytes | 472 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000173/ScoringFiles/PGS000173.txt.gz |
| PGS000191 (wbc) |
PGP000078 | Vuckovic D et al. Cell (2020) |
White blood cell count | leukocyte quantity | 636 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000191/ScoringFiles/PGS000191.txt.gz |
| PGS001199 (GBE_INI30120) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Lymphocyte count | lymphocyte count | 4,212 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001199/ScoringFiles/PGS001199.txt.gz |
| PGS001239 (GBE_INI30000) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
White blood cell count | leukocyte quantity | 13,785 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.txt.gz |
| PGS001414 (GBE_INI30180) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Lymphocyte % | lymphocyte percentage of leukocytes | 15,143 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001414/ScoringFiles/PGS001414.txt.gz |
| PGS001962 (portability-PLR_log_leukocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
White blood cell (leukocyte) count | leukocyte quantity | 80,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001962/ScoringFiles/PGS001962.txt.gz |
| PGS001965 (portability-PLR_log_lymphocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lymphocyte count | lymphocyte count | 76,535 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001965/ScoringFiles/PGS001965.txt.gz |
| PGS001986 (portability-PLR_lymphocyte_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 66,778 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001986/ScoringFiles/PGS001986.txt.gz |
| PGS002180 (portability-ldpred2_log_leukocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
White blood cell (leukocyte) count | leukocyte quantity | 846,337 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002180/ScoringFiles/PGS002180.txt.gz |
| PGS002183 (portability-ldpred2_log_lymphocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lymphocyte count | lymphocyte count | 814,921 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002183/ScoringFiles/PGS002183.txt.gz |
| PGS002203 (portability-ldpred2_lymphocyte_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 775,312 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002203/ScoringFiles/PGS002203.txt.gz |
| PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002338/ScoringFiles/PGS002338.txt.gz |
| PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002357/ScoringFiles/PGS002357.txt.gz |
| PGS002370 (blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 920,935 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002370/ScoringFiles/PGS002370.txt.gz |
| PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 920,936 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002380/ScoringFiles/PGS002380.txt.gz |
| PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 14,889 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002410/ScoringFiles/PGS002410.txt.gz |
| PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 13,898 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002429/ScoringFiles/PGS002429.txt.gz |
| PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 36,117 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002459/ScoringFiles/PGS002459.txt.gz |
| PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 35,005 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002478/ScoringFiles/PGS002478.txt.gz |
| PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 140,957 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002508/ScoringFiles/PGS002508.txt.gz |
| PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 141,866 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002527/ScoringFiles/PGS002527.txt.gz |
| PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 5,729 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002557/ScoringFiles/PGS002557.txt.gz |
| PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 4,921 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002576/ScoringFiles/PGS002576.txt.gz |
| PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 3,808 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002606/ScoringFiles/PGS002606.txt.gz |
| PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 3,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002625/ScoringFiles/PGS002625.txt.gz |
| PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 472,203 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002655/ScoringFiles/PGS002655.txt.gz |
| PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 491,764 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002674/ScoringFiles/PGS002674.txt.gz |
| PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Lymphocyte count | lymphocyte count | 983,350 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002704/ScoringFiles/PGS002704.txt.gz |
| PGS002723 (blood_WHITE_COUNT.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte quantity | 983,751 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002723/ScoringFiles/PGS002723.txt.gz |
| PGS003475 (LDPred2_LYM) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Lymphocyte count | lymphocyte count | 859,875 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003475/ScoringFiles/PGS003475.txt.gz |
| PGS003483 (LDPred2_WBC) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
White blood cell count | leukocyte quantity | 860,306 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003483/ScoringFiles/PGS003483.txt.gz |
| PGS003541 (cont-decay-log_leukocyte) |
PGP000457 | Ding Y et al. Nature (2023) |
White blood cell (leukocyte) count | leukocyte quantity | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003541/ScoringFiles/PGS003541.txt.gz |
| PGS003557 (cont-decay-lymphocyte_perc) |
PGP000457 | Ding Y et al. Nature (2023) |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003557/ScoringFiles/PGS003557.txt.gz |
| PGS003924 (INI30000) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
White blood cell (leukocyte) count | leukocyte quantity | 17,890 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003924/ScoringFiles/PGS003924.txt.gz |
| PGS003936 (INI30120) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Lymphocyte count | lymphocyte count | 7,291 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003936/ScoringFiles/PGS003936.txt.gz |
| PGS003941 (INI30180) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 20,804 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003941/ScoringFiles/PGS003941.txt.gz |
| PGS004345 (X30000.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
White blood cell (leukocyte) count | leukocyte quantity | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004345/ScoringFiles/PGS004345.txt.gz |
| PGS004356 (X30120.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Lymphocyte count | lymphocyte count | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004356/ScoringFiles/PGS004356.txt.gz |
| PGS004359 (X30180.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004359/ScoringFiles/PGS004359.txt.gz |
| PGS004855 (WBC_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
White blood cell count | leukocyte quantity | 1,165,158 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004855/ScoringFiles/PGS004855.txt.gz |
| PGS004856 (WBC_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
White blood cell count | leukocyte quantity | 6,594,323 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004856/ScoringFiles/PGS004856.txt.gz |
| PGS004857 (WBC_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
White blood cell count | leukocyte quantity | 4,141,649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004857/ScoringFiles/PGS004857.txt.gz |
| PGS004858 (WBC_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
White blood cell count | leukocyte quantity | 6,594,323 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004858/ScoringFiles/PGS004858.txt.gz |
| PGS005174 (VPGS_LYMPH) |
PGP000723 | Xiang R et al. Nat Commun (2025) |
Lymphocyte count variance | lymphocyte count | 9,501,646 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005174/ScoringFiles/PGS005174.txt.gz |
| PGS005184 (VPGS_LYMPH_P) |
PGP000723 | Xiang R et al. Nat Commun (2025) |
Lymphocyte percentage of white cells variance | lymphocyte percentage of leukocytes | 9,502,358 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005184/ScoringFiles/PGS005184.txt.gz |
| PGS005197 (VPGS_WBC) |
PGP000723 | Xiang R et al. Nat Commun (2025) |
White blood cell count variance | leukocyte quantity | 9,503,677 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005197/ScoringFiles/PGS005197.txt.gz |
| PGS005251 (iPRS) |
PGP000744 | Olowofela AS et al. JCO Precis Oncol (2025) |
INFLA-Score | platelet count, C-reactive protein measurement, neutrophil-to-lymphocyte ratio, leukocyte quantity |
1,113 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005251/ScoringFiles/PGS005251.txt.gz |
| PGS012559 (iPRS-M) |
PGP000800 | Jandu HK et al. HGG Adv (2026) |
INFLA-Score | platelet count, C-reactive protein measurement, neutrophil-to-lymphocyte ratio, leukocyte quantity |
1,188 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012559/ScoringFiles/PGS012559.txt.gz | |
| PGS019811 (TPMI_WBC_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 33,558 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019811/ScoringFiles/PGS019811.txt.gz | |
| PGS019835 (TPMI_WBC_LDPred2) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 939,802 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019835/ScoringFiles/PGS019835.txt.gz | |
| PGS019859 (TPMI_WBC_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 983,755 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019859/ScoringFiles/PGS019859.txt.gz | |
| PGS019883 (TPMI_WBC_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 297,127 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019883/ScoringFiles/PGS019883.txt.gz | |
| PGS019907 (TPMI_WBC_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 377,450 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019907/ScoringFiles/PGS019907.txt.gz | |
| PGS019919 (TPMI_WBC_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
White blood cell count | leukocyte quantity | 1,071,145 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019919/ScoringFiles/PGS019919.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000226 | PGS000097 (lymph) |
PSS000162| European Ancestry| 81,455 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Lymphocyte count | — | — | Pearson correlation coefficent (r): 0.40707 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS) |
| PPM000227 | PGS000097 (lymph) |
PSS000136| European Ancestry| 39,191 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Lymphocyte count | — | — | Pearson correlation coefficent (r): 0.4055 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | — |
| PPM000228 | PGS000098 (lymph_p) |
PSS000163| European Ancestry| 81,464 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Lymphocyte percentage of white cells | — | — | Pearson correlation coefficent (r): 0.33396 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS) |
| PPM000229 | PGS000098 (lymph_p) |
PSS000137| European Ancestry| 39,178 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Lymphocyte percentage of white cells | — | — | Pearson correlation coefficent (r): 0.3313 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | — |
| PPM000258 | PGS000113 (wbc) |
PSS000178| European Ancestry| 81,606 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: White blood cell count | — | — | Pearson correlation coefficent (r): 0.39876 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS) |
| PPM000259 | PGS000113 (wbc) |
PSS000152| European Ancestry| 40,466 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: White blood cell count | — | — | Pearson correlation coefficent (r): 0.38866 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | — |
| PPM039262 | PGS000113 (wbc) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.0086 | — | — | — | — |
| PPM000550 | PGS000172 (lymph) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Lymphocyte count | — | — | R²: 0.03217 | sex, age, 10 genetic PCs | — |
| PPM000528 | PGS000172 (lymph) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Lymphocyte count | — | — | R²: 0.10555 | sex, age, 10 genetic PCs | — |
| PPM039220 | PGS000172 (lymph) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00904 | — | — | — | — |
| PPM000529 | PGS000173 (lymph_p) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Lymphocyte percentage of white cells | — | — | R²: 0.06965 | sex, age, 10 genetic PCs | — |
| PPM000560 | PGS000191 (wbc) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: White blood cell count | — | — | R²: 0.06336 | sex, age, 10 genetic PCs | — |
| PPM000545 | PGS000191 (wbc) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: White blood cell count | — | — | R²: 0.08672 | sex, age, 10 genetic PCs | — |
| PPM001770 | PGS000191 (wbc) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: White blood cell count | — | — | Pearson correlation coefficent (r): 0.19 | — | — |
| PPM038940 | PGS000191 (wbc) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01353 | — | — | — | — |
| PPM008616 | PGS001199 (GBE_INI30120) |
PSS006968| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.04047 [0.03568, 0.04526] Incremental R2 (full-covars): 0.03437 PGS R2 (no covariates): 0.03502 [0.03053, 0.0395] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008614 | PGS001199 (GBE_INI30120) |
PSS006966| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.01509 [0.00921, 0.02097] Incremental R2 (full-covars): 0.0048 PGS R2 (no covariates): 0.00655 [0.00264, 0.01046] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008615 | PGS001199 (GBE_INI30120) |
PSS006967| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.07751 [0.05317, 0.10185] Incremental R2 (full-covars): 0.02783 PGS R2 (no covariates): 0.0308 [0.01468, 0.04692] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008617 | PGS001199 (GBE_INI30120) |
PSS006969| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.04041 [0.03187, 0.04896] Incremental R2 (full-covars): 0.02891 PGS R2 (no covariates): 0.02928 [0.02192, 0.03663] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008618 | PGS001199 (GBE_INI30120) |
PSS006970| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte count | — | — | R²: 0.02566 [0.0233, 0.02801] Incremental R2 (full-covars): 0.02051 PGS R2 (no covariates): 0.02072 [0.01859, 0.02285] |
age, sex, UKB array type, Genotype PCs | — |
| PPM038806 | PGS001199 (GBE_INI30120) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01657 | — | — | — | — |
| PPM008704 | PGS001239 (GBE_INI30000) |
PSS006891| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: White blood cell count | — | — | R²: 0.05282 [0.04224, 0.0634] Incremental R2 (full-covars): 0.00963 PGS R2 (no covariates): 0.01451 [0.00874, 0.02028] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008705 | PGS001239 (GBE_INI30000) |
PSS006892| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: White blood cell count | — | — | R²: 0.07596 [0.05182, 0.10009] Incremental R2 (full-covars): 0.0496 PGS R2 (no covariates): 0.05069 [0.03044, 0.07095] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008706 | PGS001239 (GBE_INI30000) |
PSS006893| European Ancestry| 24,174 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: White blood cell count | — | — | R²: 0.08839 [0.08166, 0.09513] Incremental R2 (full-covars): 0.07763 PGS R2 (no covariates): 0.08212 [0.07559, 0.08865] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008707 | PGS001239 (GBE_INI30000) |
PSS006894| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: White blood cell count | — | — | R²: 0.07166 [0.06066, 0.08267] Incremental R2 (full-covars): 0.06404 PGS R2 (no covariates): 0.06438 [0.05387, 0.07489] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008708 | PGS001239 (GBE_INI30000) |
PSS006895| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: White blood cell count | — | — | R²: 0.0777 [0.07382, 0.08158] Incremental R2 (full-covars): 0.07177 PGS R2 (no covariates): 0.07264 [0.06887, 0.07641] |
age, sex, UKB array type, Genotype PCs | — |
| PPM038492 | PGS001239 (GBE_INI30000) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.03179 | — | — | — | — |
| PPM007054 | PGS001414 (GBE_INI30180) |
PSS006995| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte % | — | — | R²: 0.10838 [0.10395, 0.11281] Incremental R2 (full-covars): 0.08842 PGS R2 (no covariates): 0.08835 [0.08426, 0.09245] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007050 | PGS001414 (GBE_INI30180) |
PSS006991| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte % | — | — | R²: 0.03982 [0.03051, 0.04913] Incremental R2 (full-covars): 0.01769 PGS R2 (no covariates): 0.02018 [0.01341, 0.02694] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007051 | PGS001414 (GBE_INI30180) |
PSS006992| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte % | — | — | R²: 0.08102 [0.05624, 0.10581] Incremental R2 (full-covars): 0.04011 PGS R2 (no covariates): 0.03886 [0.02091, 0.05682] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007052 | PGS001414 (GBE_INI30180) |
PSS006993| European Ancestry| 24,130 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte % | — | — | R²: 0.09934 [0.09229, 0.10639] Incremental R2 (full-covars): 0.08221 PGS R2 (no covariates): 0.084 [0.0774, 0.09059] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007053 | PGS001414 (GBE_INI30180) |
PSS006994| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Lymphocyte % | — | — | R²: 0.05905 [0.04893, 0.06918] Incremental R2 (full-covars): 0.05259 PGS R2 (no covariates): 0.05171 [0.04216, 0.06126] |
age, sex, UKB array type, Genotype PCs | — |
| PPM010571 | PGS001962 (portability-PLR_log_leukocyte) |
PSS009451| European Ancestry| 19,419 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3641 [0.3518, 0.3762] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010572 | PGS001962 (portability-PLR_log_leukocyte) |
PSS009225| European Ancestry| 4,002 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3304 [0.3024, 0.3578] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010574 | PGS001962 (portability-PLR_log_leukocyte) |
PSS008553| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.2724 [0.2177, 0.3255] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010575 | PGS001962 (portability-PLR_log_leukocyte) |
PSS008331| South Asian Ancestry| 6,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3155 [0.2926, 0.338] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010576 | PGS001962 (portability-PLR_log_leukocyte) |
PSS008108| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.2467 [0.2021, 0.2903] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010577 | PGS001962 (portability-PLR_log_leukocyte) |
PSS007895| African Ancestry| 2,343 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.1956 [0.1562, 0.2344] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010578 | PGS001962 (portability-PLR_log_leukocyte) |
PSS008999| African Ancestry| 3,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.1532 [0.1215, 0.1845] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010573 | PGS001962 (portability-PLR_log_leukocyte) |
PSS008779| European Ancestry| 6,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3374 [0.3155, 0.3589] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038509 | PGS001962 (portability-PLR_log_leukocyte) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.03017 | — | — | — | — |
| PPM010595 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS009454| European Ancestry| 19,387 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3636 [0.3514, 0.3758] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010596 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS009228| European Ancestry| 3,993 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3456 [0.3179, 0.3727] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010597 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS008782| European Ancestry| 6,421 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3335 [0.3115, 0.3551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010598 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS008556| Greater Middle Eastern Ancestry| 1,150 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3153 [0.2618, 0.3669] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010599 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS008334| South Asian Ancestry| 6,058 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.301 [0.2779, 0.3238] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010600 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS008111| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.2717 [0.2277, 0.3147] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010602 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS009002| African Ancestry| 3,699 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.1702 [0.1386, 0.2014] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010601 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS007898| African Ancestry| 2,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.167 [0.1271, 0.2063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038689 | PGS001965 (portability-PLR_log_lymphocyte) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02126 | — | — | — | — |
| PPM010763 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS009473| European Ancestry| 19,383 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.314 [0.3012, 0.3266] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010764 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS009247| European Ancestry| 3,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2972 [0.2686, 0.3253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010765 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS008801| European Ancestry| 6,417 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.3022 [0.2798, 0.3243] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010766 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS008575| Greater Middle Eastern Ancestry| 1,150 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2825 [0.228, 0.3353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010767 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS008353| South Asian Ancestry| 6,056 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2722 [0.2487, 0.2954] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010768 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS008130| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2475 [0.2028, 0.291] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010769 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS007917| African Ancestry| 2,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.1708 [0.131, 0.21] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010770 | PGS001986 (portability-PLR_lymphocyte_perc) |
PSS009021| African Ancestry| 3,695 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.1726 [0.1411, 0.2038] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012287 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS009451| European Ancestry| 19,419 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3596 [0.3473, 0.3718] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012288 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS009225| European Ancestry| 4,002 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3332 [0.3053, 0.3605] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012289 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS008779| European Ancestry| 6,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3368 [0.3149, 0.3583] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012290 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS008553| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.2706 [0.2158, 0.3237] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012291 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS008331| South Asian Ancestry| 6,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.3147 [0.2919, 0.3372] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012292 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS008108| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.2454 [0.2007, 0.289] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012293 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS007895| African Ancestry| 2,343 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.1863 [0.1467, 0.2253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012294 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS008999| African Ancestry| 3,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: White blood cell (leukocyte) count | — | — | Partial Correlation (partial-r): 0.1563 [0.1247, 0.1876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038533 | PGS002180 (portability-ldpred2_log_leukocyte) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02864 | — | — | — | — |
| PPM012311 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS009454| European Ancestry| 19,387 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3574 [0.3451, 0.3697] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012312 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS009228| European Ancestry| 3,993 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3369 [0.3091, 0.3642] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012314 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS008556| Greater Middle Eastern Ancestry| 1,150 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.2968 [0.2427, 0.3491] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012315 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS008334| South Asian Ancestry| 6,058 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.2945 [0.2713, 0.3173] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012316 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS008111| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.2745 [0.2305, 0.3174] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012317 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS007898| African Ancestry| 2,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.1609 [0.121, 0.2003] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012318 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS009002| African Ancestry| 3,699 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.1618 [0.1302, 0.1931] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012313 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS008782| European Ancestry| 6,421 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte count | — | — | Partial Correlation (partial-r): 0.3319 [0.31, 0.3536] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038756 | PGS002183 (portability-ldpred2_log_lymphocyte) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01808 | — | — | — | — |
| PPM012471 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS009473| European Ancestry| 19,383 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.3116 [0.2989, 0.3243] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012472 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS009247| European Ancestry| 3,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2932 [0.2645, 0.3213] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012473 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS008801| European Ancestry| 6,417 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2976 [0.2751, 0.3198] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012474 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS008575| Greater Middle Eastern Ancestry| 1,150 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2842 [0.2297, 0.3369] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012475 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS008353| South Asian Ancestry| 6,056 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2664 [0.2428, 0.2897] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012476 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS008130| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.2567 [0.2122, 0.3] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012477 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS007917| African Ancestry| 2,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.1725 [0.1327, 0.2117] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012478 | PGS002203 (portability-ldpred2_lymphocyte_perc) |
PSS009021| African Ancestry| 3,695 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Lymphocyte percentage | — | — | Partial Correlation (partial-r): 0.164 [0.1324, 0.1953] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM013103 | PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0305 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013152 | PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0585 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013201 | PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1307 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013250 | PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0755 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038670 | PGS002338 (blood_LYMPHOCYTE_COUNT.BOLT-LMM) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02224 | — | — | — | — |
| PPM013122 | PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0249 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013171 | PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0616 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013220 | PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.123 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013269 | PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0945 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038473 | PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.03429 | — | — | — | — |
| PPM013351 | PGS002370 (blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0045 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013282 | PGS002370 (blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013328 | PGS002370 (blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013305 | PGS002370 (blood_LYMPHOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0363 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013315 | PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0507 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013338 | PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013361 | PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013292 | PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0018 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM039051 | PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01113 | — | — | — | — |
| PPM013391 | PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013440 | PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0566 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013489 | PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0706 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013538 | PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0387 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM039157 | PGS002410 (blood_LYMPHOCYTE_COUNT.P+T.0.0001) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01037 | — | — | — | — |
| PPM013410 | PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013459 | PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0423 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013508 | PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0662 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013557 | PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0458 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038646 | PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02462 | — | — | — | — |
| PPM013587 | PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013636 | PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0358 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013685 | PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.058 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013734 | PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0294 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM039155 | PGS002459 (blood_LYMPHOCYTE_COUNT.P+T.0.001) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02163 | — | — | — | — |
| PPM013606 | PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013655 | PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.036 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013704 | PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.069 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013753 | PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0441 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038575 | PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.0391 | — | — | — | — |
| PPM013881 | PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0456 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013783 | PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013832 | PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0123 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013930 | PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0138 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038815 | PGS002508 (blood_LYMPHOCYTE_COUNT.P+T.0.01) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.0482 | — | — | — | — |
| PPM013802 | PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013851 | PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0109 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013900 | PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0384 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013949 | PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0128 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038595 | PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.07872 | — | — | — | — |
| PPM013979 | PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0087 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014028 | PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.057 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014077 | PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0561 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014126 | PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0302 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM039171 | PGS002557 (blood_LYMPHOCYTE_COUNT.P+T.1e-06) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00959 | — | — | — | — |
| PPM013998 | PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0151 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014047 | PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0323 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014096 | PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0515 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014145 | PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0369 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038723 | PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01982 | — | — | — | — |
| PPM014175 | PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0085 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014224 | PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0542 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014273 | PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0498 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014322 | PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0265 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM039109 | PGS002606 (blood_LYMPHOCYTE_COUNT.P+T.5e-08) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01044 | — | — | — | — |
| PPM014194 | PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0181 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014292 | PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0445 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014341 | PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.033 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014243 | PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.027 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038761 | PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01806 | — | — | — | — |
| PPM014371 | PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0339 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014420 | PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0735 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014469 | PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1393 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014518 | PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0834 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_LYMPHOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM039142 | PGS002655 (blood_LYMPHOCYTE_COUNT.PolyFun-pred) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01004 | — | — | — | — |
| PPM014390 | PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014439 | PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0632 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014488 | PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1299 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014537 | PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_WHITE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM038692 | PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02128 | — | — | — | — |
| PPM014616 | PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PSS009796| East Asian Ancestry| 895 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0673 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014567 | PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PSS009795| African Ancestry| 6,135 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0268 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014665 | PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PSS009797| European Ancestry| 41,973 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1222 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014714 | PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PSS009798| South Asian Ancestry| 7,737 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Lymphocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0722 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038746 | PGS002704 (blood_LYMPHOCYTE_COUNT.SBayesR) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01869 | — | — | — | — |
| PPM014586 | PGS002723 (blood_WHITE_COUNT.SBayesR) |
PSS009871| African Ancestry| 6,149 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0218 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014635 | PGS002723 (blood_WHITE_COUNT.SBayesR) |
PSS009872| East Asian Ancestry| 893 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0624 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014684 | PGS002723 (blood_WHITE_COUNT.SBayesR) |
PSS009873| European Ancestry| 42,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1169 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014733 | PGS002723 (blood_WHITE_COUNT.SBayesR) |
PSS009874| South Asian Ancestry| 7,769 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: White Blood Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0902 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM038506 | PGS002723 (blood_WHITE_COUNT.SBayesR) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.0303 | — | — | — | — |
| PPM017285 | PGS003475 (LDPred2_LYM) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.009 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017308 | PGS003475 (LDPred2_LYM) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.007 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017292 | PGS003483 (LDPred2_WBC) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: -0.007 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017315 | PGS003483 (LDPred2_WBC) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: -0.023 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017469 | PGS003541 (cont-decay-log_leukocyte) |
PSS010906| European Ancestry| 19,415 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017553 | PGS003541 (cont-decay-log_leukocyte) |
PSS010822| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017721 | PGS003541 (cont-decay-log_leukocyte) |
PSS010570| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017805 | PGS003541 (cont-decay-log_leukocyte) |
PSS010234| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017889 | PGS003541 (cont-decay-log_leukocyte) |
PSS010486| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM018057 | PGS003541 (cont-decay-log_leukocyte) |
PSS010318| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018141 | PGS003541 (cont-decay-log_leukocyte) |
PSS010738| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017637 | PGS003541 (cont-decay-log_leukocyte) |
PSS010654| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017973 | PGS003541 (cont-decay-log_leukocyte) |
PSS010402| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017485 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010923| European Ancestry| 19,370 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017569 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010839| European Ancestry| 3,981 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017737 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010587| Greater Middle Eastern Ancestry| 1,120 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017821 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010251| European Ancestry| 2,258 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017905 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010503| South Asian Ancestry| 6,004 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017989 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010419| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018073 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010335| African Ancestry| 2,324 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018157 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010755| African Ancestry| 3,666 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017653 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010671| European Ancestry| 6,258 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018940 | PGS003924 (INI30000) |
PSS011109| European Ancestry| 2,813 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | R²: 0.09098 [0.07103, 0.11094] PGS R2 (no covariates): 0.07615 [0.05759, 0.0947] Incremental R2 (full-covars): 0.07328 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018941 | PGS003924 (INI30000) |
PSS011113| South Asian Ancestry| 1,433 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | R²: 0.09373 [0.06559, 0.12186] PGS R2 (no covariates): 0.08974 [0.06208, 0.11739] Incremental R2 (full-covars): 0.08665 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018942 | PGS003924 (INI30000) |
PSS011155| African Ancestry| 1,157 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | R²: 0.05083 [0.02681, 0.07484] PGS R2 (no covariates): 0.04407 [0.02155, 0.06659] Incremental R2 (full-covars): 0.04309 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018943 | PGS003924 (INI30000) |
PSS011166| Multi-ancestry (excluding European)| 7,746 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | R²: 0.09843 [0.08604, 0.11081] PGS R2 (no covariates): 0.08243 [0.0709, 0.09397] Incremental R2 (full-covars): 0.07062 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018939 | PGS003924 (INI30000) |
PSS011136| European Ancestry| 65,932 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: White blood cell (leukocyte) count | — | — | R²: 0.08905 [0.08496, 0.09315] PGS R2 (no covariates): 0.07643 [0.07259, 0.08028] Incremental R2 (full-covars): 0.07561 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018999 | PGS003936 (INI30120) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte count | — | — | R²: 0.02749 [0.02507, 0.02992] PGS R2 (no covariates): 0.02217 [0.01997, 0.02436] Incremental R2 (full-covars): 0.02189 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019000 | PGS003936 (INI30120) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte count | — | — | R²: 0.03382 [0.02089, 0.04675] PGS R2 (no covariates): 0.02699 [0.01535, 0.03862] Incremental R2 (full-covars): 0.02644 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019001 | PGS003936 (INI30120) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte count | — | — | R²: 0.05901 [0.03583, 0.08219] PGS R2 (no covariates): 0.04232 [0.02234, 0.0623] Incremental R2 (full-covars): 0.03929 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019002 | PGS003936 (INI30120) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte count | — | — | R²: 0.01861 [0.00358, 0.03363] PGS R2 (no covariates): 0.00551 [-0.00278, 0.01379] Incremental R2 (full-covars): -0.00495 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019003 | PGS003936 (INI30120) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte count | — | — | R²: 0.04696 [0.03792, 0.05601] PGS R2 (no covariates): 0.02897 [0.02173, 0.0362] Incremental R2 (full-covars): 0.02614 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019024 | PGS003941 (INI30180) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte percentage | — | — | R²: 0.12323 [0.1186, 0.12787] PGS R2 (no covariates): 0.09003 [0.08592, 0.09414] Incremental R2 (full-covars): 0.09003 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019025 | PGS003941 (INI30180) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte percentage | — | — | R²: 0.11201 [0.09038, 0.13364] PGS R2 (no covariates): 0.08186 [0.06274, 0.10098] Incremental R2 (full-covars): 0.08335 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019026 | PGS003941 (INI30180) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte percentage | — | — | R²: 0.07411 [0.04855, 0.09967] PGS R2 (no covariates): 0.05351 [0.03131, 0.07571] Incremental R2 (full-covars): 0.05293 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019027 | PGS003941 (INI30180) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte percentage | — | — | R²: 0.06881 [0.0414, 0.09623] PGS R2 (no covariates): 0.0468 [0.02366, 0.06995] Incremental R2 (full-covars): 0.04285 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019028 | PGS003941 (INI30180) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Lymphocyte percentage | — | — | R²: 0.15346 [0.13894, 0.16798] PGS R2 (no covariates): 0.11132 [0.09834, 0.12431] Incremental R2 (full-covars): 0.07958 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM020460 | PGS004345 (X30000.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: White blood cell (leukocyte) count | — | — | PGS R2 (no covariates): 0.24739 | — | — |
| PPM020471 | PGS004356 (X30120.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Lymphocyte count | — | — | PGS R2 (no covariates): 0.25007 | — | — |
| PPM020474 | PGS004359 (X30180.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Lymphocyte percentage | — | — | PGS R2 (no covariates): 0.22005 | — | — |
| PPM021080 | PGS004855 (WBC_PRSmix_eur) |
PSS011512| European Ancestry| 5,118 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: White blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.075 [0.061, 0.089] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021081 | PGS004856 (WBC_PRSmix_sas) |
PSS011477| South Asian Ancestry| 7,058 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: White blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.084 [0.072, 0.097] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021082 | PGS004857 (WBC_PRSmixPlus_eur) |
PSS011512| European Ancestry| 5,118 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: White blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.085 [0.071, 0.1] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021083 | PGS004858 (WBC_PRSmixPlus_sas) |
PSS011477| South Asian Ancestry| 7,058 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: White blood count | — | — | Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM022548 | PGS005174 (VPGS_LYMPH) |
PSS011995| European Ancestry| 39,191 individuals |
PGP000723 | Xiang R et al. Nat Commun (2025) |
Reported Trait: Lymphocyte_count | β: -0.00133 | — | R²: 0.16298 | — | effects of PGS*vPGS tested and shown in Supplementary Data 12) |
| PPM022554 | PGS005184 (VPGS_LYMPH_P) |
PSS011996| European Ancestry| 39,178 individuals |
PGP000723 | Xiang R et al. Nat Commun (2025) |
Reported Trait: Lymphocyte_percentage_of_white_cells | β: -0.00051 | — | R²: 0.10833 | — | effects of PGS*vPGS tested and shown in Supplementary Data 12) |
| PPM022549 | PGS005197 (VPGS_WBC) |
PSS012011| European Ancestry| 40,466 individuals |
PGP000723 | Xiang R et al. Nat Commun (2025) |
Reported Trait: White_blood_cell_count | β: -7e-05 | — | R²: 0.15092 | — | effects of PGS*vPGS tested and shown in Supplementary Data 12) |
| PPM022732 | PGS005251 (iPRS) |
PSS012063| European Ancestry| 55,845 individuals |
PGP000744 | Olowofela AS et al. JCO Precis Oncol (2025) |
Reported Trait: INFLA-Score | β: 0.4274 [0.4072, 0.4472] | — | — | — | — |
| PPM030688 | PGS012559 (iPRS-M) |
PSS012248| Multi-ancestry (including European)| 4,833 individuals |
PGP000800 | Jandu HK et al. HGG Adv (2026) |
Reported Trait: INFLA-Score | β: 0.98 [0.797, 1.162] | — | R²: 0.026 | — | — |
| PPM037993 | PGS019811 (TPMI_WBC_Lassosum2) |
PSS013811| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | AUROC: 0.78243 | R²: 0.07265 | sex, age, array, PCs 1-10 | — |
| PPM038017 | PGS019835 (TPMI_WBC_LDPred2) |
PSS013810| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | AUROC: 0.61341 | R²: 0.06771 | sex, age, array, PCs 1-10 | — |
| PPM038041 | PGS019859 (TPMI_WBC_PRS-CS) |
PSS013813| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | — | R²: 0.07599 | sex, age, array, PCs 1-10 | — |
| PPM038065 | PGS019883 (TPMI_WBC_SBayesR) |
PSS013815| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | — | R²: 0.04847 | sex, age, array, PCs 1-10 | — |
| PPM038089 | PGS019907 (TPMI_WBC_MegaPRS) |
PSS013812| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | AUROC: 0.73221 | R²: 0.06465 | sex, age, array, PCs 1-10 | — |
| PPM038101 | PGS019919 (TPMI_WBC_PRSmix+) |
PSS013814| East Asian Ancestry| 12,470 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: White blood cell count | — | — | R²: 0.08567 | sex, age, array, PCs 1-10 | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS010654 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS009871 | — | — | 6,149 individuals | — | African unspecified | — | UKB | — |
| PSS009872 | — | — | 893 individuals | — | East Asian | — | UKB | — |
| PSS009873 | — | — | 42,026 individuals | — | European | Non-British European | UKB | — |
| PSS009874 | — | — | 7,769 individuals | — | South Asian | — | UKB | — |
| PSS010671 | — | — | 6,258 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS000290 | — | — | 2,314 individuals | — | European (French Canadian) |
— | CARTaGENE | — |
| PSS000291 | — | — | 39,260 individuals | — | European | — | INTERVAL | — |
| PSS000136 | — | — | 39,191 individuals, 50.0 % Male samples |
Mean = 43.82 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000137 | — | — | 39,178 individuals, 50.0 % Male samples |
Mean = 43.82 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS009225 | — | — | 4,002 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009228 | — | — | 3,993 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000152 | — | — | 40,466 individuals, 49.0 % Male samples |
Mean = 43.84 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS010738 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS009247 | — | — | 3,992 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010234 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS000162 | — | — | 81,455 individuals, 45.0 % Male samples |
Mean = 57.23 years Range = [40.05, 71.07] years |
European | — | UKB | — |
| PSS000163 | — | — | 81,464 individuals, 46.0 % Male samples |
Mean = 57.22 years Range = [40.17, 71.1] years |
European | — | UKB | — |
| PSS010755 | — | — | 3,666 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010251 | — | — | 2,258 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS000178 | — | — | 81,606 individuals, 46.0 % Male samples |
Mean = 57.23 years Range = [38.87, 70.97] years |
European | — | UKB | — |
| PSS013916 | — | — | [ ,
46.21 % Male samples |
— | European (British, Irish) |
— | UKB | — |
| PSS008779 | — | — | 6,437 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008782 | — | — | 6,421 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008801 | — | — | 6,417 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011477 | — | — | 7,058 individuals | — | South Asian | — | G&H | — |
| PSS010822 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS006891 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006892 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006893 | — | — | 24,174 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006894 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006895 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010318 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010839 | — | — | 3,981 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010335 | — | — | 2,324 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011512 | — | — | 5,118 individuals | — | European | — | AllofUs | — |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 3,026 individuals | Mean = 55.7 years Sd = 16.31 years |
European | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS008331 | — | — | 6,078 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 920 individuals | Mean = 55.7 years Sd = 16.31 years |
Hispanic or Latin American (Admixed American) |
— | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 713 individuals | Mean = 55.7 years Sd = 16.31 years |
African unspecified | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS008334 | — | — | 6,058 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012248 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 174 individuals | Mean = 55.7 years Sd = 16.31 years |
Not reported | — | AllofUs | Linear regression models were used to test the association between the iPRS with the INFLA-score (the dependant variable), adjusted for age, sex, and PCs |
| PSS008353 | — | — | 6,056 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011109 | — | — | 2,813 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011110 | — | — | 2,810 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011112 | — | — | 1,428 individuals | — | South Asian | — | UKB | — |
| PSS011113 | — | — | 1,433 individuals | — | South Asian | — | UKB | — |
| PSS006966 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006967 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS010906 | — | — | 19,415 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS006968 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006969 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006970 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011136 | — | — | 65,932 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011139 | — | — | 65,814 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS010402 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010923 | — | — | 19,370 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011154 | — | — | 1,154 individuals | — | African unspecified | — | UKB | — |
| PSS011155 | — | — | 1,157 individuals | — | African unspecified | — | UKB | — |
| PSS006991 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006992 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006993 | — | — | 24,130 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006994 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006995 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007895 | — | — | 2,343 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007898 | — | — | 2,337 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010419 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS011166 | — | — | 7,746 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011168 | — | — | 7,732 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011995 | — | — | 39,191 individuals | — | European (British) |
— | INTERVAL | — |
| PSS011996 | — | — | 39,178 individuals | — | European (British) |
— | INTERVAL | — |
| PSS012011 | — | — | 40,466 individuals | — | European (British) |
— | INTERVAL | — |
| PSS009451 | — | — | 19,419 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007917 | — | — | 2,337 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009454 | — | — | 19,387 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS009473 | — | — | 19,383 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010486 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS008999 | — | — | 3,711 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009002 | — | — | 3,699 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010503 | — | — | 6,004 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS013810 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013811 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013812 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013813 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009021 | — | — | 3,695 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS013815 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013814 | — | — | 12,470 individuals, 47.38 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008553 | — | — | 1,153 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008556 | — | — | 1,150 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010570 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS-SOL | — |
| PSS009795 | — | — | 6,135 individuals | — | African unspecified | — | UKB | — |
| PSS009796 | — | — | 895 individuals | — | East Asian | — | UKB | — |
| PSS009797 | — | — | 41,973 individuals | — | European | Non-British European | UKB | — |
| PSS009798 | — | — | 7,737 individuals | — | South Asian | — | UKB | — |
| PSS008575 | — | — | 1,150 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010587 | — | — | 1,120 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS012063 | The INFLA-Score was calculated using biomarker measurments from samples at the time of enrollment of participants into the UK Biobank. Deciles were created for each biomarker and a score that ranged from -4 to 4 was assigned to each decile in ascending order with the 5th and 6th deciles assigned 0. The decile scores for each biomarker were summed up to calculate the INFLA-Score for each individual. | — | 55,845 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 8.0 years |
European | Caucasian Ancestry as determined by the UK Biobank | UKB | — |
| PSS008108 | — | — | 1,762 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008111 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008130 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |