| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004308 |
| Description | The number of WHITE BLOOD CELLS per unit volume in venous BLOOD. A differential leukocyte count measures the relative numbers of the different types of white cells. | Trait category |
Hematological measurement
|
| Synonyms |
3 synonyms
|
| Mapped terms |
4 mapped terms
|
| Child trait(s) | 10 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) |
|---|---|---|---|---|---|---|
| PGS000088 (baso) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Basophil count | basophil count | 9,121 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000088/ScoringFiles/PGS000088.txt.gz | |
| PGS000089 (baso_p) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Basophil percentage of white cells | basophil percentage of leukocytes | 5,248 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000089/ScoringFiles/PGS000089.txt.gz | |
| PGS000090 (eo) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Eosinophil count | eosinophil count | 22,949 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz | |
| PGS000091 (eo_p) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Eosinophil percentage of white cells | eosinophil percentage of leukocytes | 24,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz | |
| 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 | |
| PGS000102 (mono) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Monocyte count | monocyte count | 28,162 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000102/ScoringFiles/PGS000102.txt.gz | |
| PGS000103 (mono_p) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Monocyte percentage of white cells | monocyte percentage of leukocytes | 22,843 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000103/ScoringFiles/PGS000103.txt.gz | |
| PGS000105 (neut) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Neutrophil count | neutrophil count | 23,864 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000105/ScoringFiles/PGS000105.txt.gz | |
| PGS000106 (neut_p) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Neutrophil percentage of white cells | neutrophil percentage of leukocytes | 22,049 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000106/ScoringFiles/PGS000106.txt.gz | |
| PGS000113 (wbc) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
White blood cell count | leukocyte count | 28,383 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000113/ScoringFiles/PGS000113.txt.gz | |
| PGS000163 (baso) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Basophil count | basophil count | 185 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000163/ScoringFiles/PGS000163.txt.gz |
| PGS000164 (baso_p) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Basophil percentage of white cells | basophil percentage of leukocytes | 150 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000164/ScoringFiles/PGS000164.txt.gz |
| PGS000165 (eo) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Eosinophil count | eosinophil count | 607 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000165/ScoringFiles/PGS000165.txt.gz |
| PGS000166 (eo_p) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Eosinophil percentage of white cells | eosinophil percentage of leukocytes | 571 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000166/ScoringFiles/PGS000166.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 |
| PGS000177 (mono) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Monocyte count | monocyte count | 638 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000177/ScoringFiles/PGS000177.txt.gz |
| PGS000178 (mono_p) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Monocyte percentage of white cells | monocyte percentage of leukocytes | 549 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000178/ScoringFiles/PGS000178.txt.gz |
| PGS000182 (neut) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Neutrophil count | neutrophil count | 492 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000182/ScoringFiles/PGS000182.txt.gz |
| PGS000183 (neut_p) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Neutrophil percentage of white cells | neutrophil percentage of leukocytes | 437 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000183/ScoringFiles/PGS000183.txt.gz |
| PGS000191 (wbc) |
PGP000078 | Vuckovic D et al. Cell (2020) |
White blood cell count | leukocyte count | 636 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000191/ScoringFiles/PGS000191.txt.gz |
| PGS001076 (GBE_INI30210) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Eosinophil percentage | eosinophil percentage of leukocytes | 12,563 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001076/ScoringFiles/PGS001076.txt.gz |
| PGS001077 (GBE_INI30200) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Neutrophil percentage | neutrophil percentage of leukocytes | 13,703 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001077/ScoringFiles/PGS001077.txt.gz |
| PGS001078 (GBE_INI30190) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Monocyte percentage | monocyte percentage of leukocytes | 8,762 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001078/ScoringFiles/PGS001078.txt.gz |
| PGS001163 (GBE_INI30130) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Monocyte count | monocyte count | 9,323 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001163/ScoringFiles/PGS001163.txt.gz |
| PGS001172 (GBE_INI30150) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Eosinophil count | eosinophil count | 12,579 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001172/ScoringFiles/PGS001172.txt.gz |
| PGS001173 (GBE_INI30140) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Neutrophil count | neutrophil count | 15,578 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001173/ScoringFiles/PGS001173.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 count | 13,785 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001239/ScoringFiles/PGS001239.txt.gz |
| PGS001377 (GBE_INI30220) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Basophil percentage | basophil percentage of leukocytes | 3,205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001377/ScoringFiles/PGS001377.txt.gz |
| PGS001378 (GBE_INI30160) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Basophil count | basophil count | 3,050 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001378/ScoringFiles/PGS001378.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 |
| PGS001949 (portability-PLR_log_eosinophil_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Eosinophil percentage | eosinophil percentage of leukocytes | 9,236 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001949/ScoringFiles/PGS001949.txt.gz |
| PGS001962 (portability-PLR_log_leukocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
White blood cell (leukocyte) count | leukocyte count | 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 |
| PGS001968 (portability-PLR_log_monocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Monocyte count | monocyte count | 46,673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001968/ScoringFiles/PGS001968.txt.gz |
| PGS001969 (portability-PLR_log_neutrophil) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Neutrophil count | neutrophil count | 71,566 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001969/ScoringFiles/PGS001969.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 |
| PGS001991 (portability-PLR_monocyte_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Monocyte percentage | monocyte percentage of leukocytes | 41,887 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001991/ScoringFiles/PGS001991.txt.gz |
| PGS001997 (portability-PLR_neutrophil_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Neutrophil percentage | neutrophil percentage of leukocytes | 65,022 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001997/ScoringFiles/PGS001997.txt.gz |
| PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Eosinophil percentage | eosinophil percentage of leukocytes | 593,459 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002167/ScoringFiles/PGS002167.txt.gz |
| PGS002180 (portability-ldpred2_log_leukocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
White blood cell (leukocyte) count | leukocyte count | 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 |
| PGS002186 (portability-ldpred2_log_monocyte) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Monocyte count | monocyte count | 641,455 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002186/ScoringFiles/PGS002186.txt.gz |
| PGS002187 (portability-ldpred2_log_neutrophil) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Neutrophil count | neutrophil count | 803,767 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002187/ScoringFiles/PGS002187.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 |
| PGS002208 (portability-ldpred2_monocyte_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Monocyte percentage | monocyte percentage of leukocytes | 544,905 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002208/ScoringFiles/PGS002208.txt.gz |
| PGS002214 (portability-ldpred2_neutrophil_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Neutrophil percentage | neutrophil percentage of leukocytes | 769,542 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002214/ScoringFiles/PGS002214.txt.gz |
| PGS002325 (blood_EOSINOPHIL_COUNT.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002325/ScoringFiles/PGS002325.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 |
| PGS002341 (blood_MONOCYTE_COUNT.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002341/ScoringFiles/PGS002341.txt.gz |
| PGS002357 (blood_WHITE_COUNT.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002357/ScoringFiles/PGS002357.txt.gz |
| PGS002364 (blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 920,929 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002364/ScoringFiles/PGS002364.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 |
| PGS002372 (blood_MONOCYTE_COUNT.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 920,930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002372/ScoringFiles/PGS002372.txt.gz |
| PGS002380 (blood_WHITE_COUNT.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 920,936 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002380/ScoringFiles/PGS002380.txt.gz |
| PGS002397 (blood_EOSINOPHIL_COUNT.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 15,667 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002397/ScoringFiles/PGS002397.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 |
| PGS002413 (blood_MONOCYTE_COUNT.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 17,405 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002413/ScoringFiles/PGS002413.txt.gz |
| PGS002429 (blood_WHITE_COUNT.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 13,898 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002429/ScoringFiles/PGS002429.txt.gz |
| PGS002446 (blood_EOSINOPHIL_COUNT.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 35,512 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002446/ScoringFiles/PGS002446.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 |
| PGS002462 (blood_MONOCYTE_COUNT.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 38,012 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002462/ScoringFiles/PGS002462.txt.gz |
| PGS002478 (blood_WHITE_COUNT.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 35,005 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002478/ScoringFiles/PGS002478.txt.gz |
| PGS002495 (blood_EOSINOPHIL_COUNT.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 135,927 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002495/ScoringFiles/PGS002495.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 |
| PGS002511 (blood_MONOCYTE_COUNT.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 140,833 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002511/ScoringFiles/PGS002511.txt.gz |
| PGS002527 (blood_WHITE_COUNT.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 141,866 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002527/ScoringFiles/PGS002527.txt.gz |
| PGS002544 (blood_EOSINOPHIL_COUNT.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 6,683 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002544/ScoringFiles/PGS002544.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 |
| PGS002560 (blood_MONOCYTE_COUNT.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 7,666 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002560/ScoringFiles/PGS002560.txt.gz |
| PGS002576 (blood_WHITE_COUNT.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 4,921 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002576/ScoringFiles/PGS002576.txt.gz |
| PGS002593 (blood_EOSINOPHIL_COUNT.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 4,677 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002593/ScoringFiles/PGS002593.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 |
| PGS002609 (blood_MONOCYTE_COUNT.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 5,367 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002609/ScoringFiles/PGS002609.txt.gz |
| PGS002625 (blood_WHITE_COUNT.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 3,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002625/ScoringFiles/PGS002625.txt.gz |
| PGS002642 (blood_EOSINOPHIL_COUNT.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 346,331 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002642/ScoringFiles/PGS002642.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 |
| PGS002658 (blood_MONOCYTE_COUNT.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 353,881 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002658/ScoringFiles/PGS002658.txt.gz |
| PGS002674 (blood_WHITE_COUNT.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 491,764 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002674/ScoringFiles/PGS002674.txt.gz |
| PGS002691 (blood_EOSINOPHIL_COUNT.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Eosinophil count | eosinophil count | 980,421 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002691/ScoringFiles/PGS002691.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 |
| PGS002707 (blood_MONOCYTE_COUNT.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Monocyte count | monocyte count | 980,307 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002707/ScoringFiles/PGS002707.txt.gz |
| PGS002723 (blood_WHITE_COUNT.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
White blood cell count | leukocyte count | 983,751 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002723/ScoringFiles/PGS002723.txt.gz |
| PGS003464 (LDPred2_EOS) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Eosinophil count | eosinophil count | 859,056 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003464/ScoringFiles/PGS003464.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 count | 860,306 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003483/ScoringFiles/PGS003483.txt.gz |
| PGS003530 (cont-decay-log_eosinophil_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Eosinophil percentage | eosinophil percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003530/ScoringFiles/PGS003530.txt.gz |
| PGS003541 (cont-decay-log_leukocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
White blood cell (leukocyte) count | leukocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003541/ScoringFiles/PGS003541.txt.gz |
| PGS003544 (cont-decay-log_monocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Monocyte count | monocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003544/ScoringFiles/PGS003544.txt.gz |
| PGS003545 (cont-decay-log_neutrophil) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Neutrophil count | neutrophil count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003545/ScoringFiles/PGS003545.txt.gz |
| PGS003557 (cont-decay-lymphocyte_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003557/ScoringFiles/PGS003557.txt.gz |
| PGS003562 (cont-decay-monocyte_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Monocyte percentage | monocyte percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003562/ScoringFiles/PGS003562.txt.gz |
| PGS003566 (cont-decay-neutrophil_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Neutrophil percentage | neutrophil percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003566/ScoringFiles/PGS003566.txt.gz |
| PGS003924 (INI30000) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
White blood cell (leukocyte) count | leukocyte count | 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 |
| PGS003937 (INI30130) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Monocyte count | monocyte count | 13,415 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003937/ScoringFiles/PGS003937.txt.gz |
| PGS003938 (INI30140) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Neutrophil count | neutrophil count | 18,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003938/ScoringFiles/PGS003938.txt.gz |
| PGS003939 (INI30150) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Eosinophil count | eosinophil count | 16,859 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003939/ScoringFiles/PGS003939.txt.gz |
| PGS003940 (INI30160) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Basophil count | basophil count | 4,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003940/ScoringFiles/PGS003940.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 |
| PGS003942 (INI30190) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Monocyte percentage | monocyte percentage of leukocytes | 10,717 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003942/ScoringFiles/PGS003942.txt.gz |
| PGS003943 (INI30200) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Neutrophil percentage | neutrophil percentage of leukocytes | 16,931 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003943/ScoringFiles/PGS003943.txt.gz |
| PGS003944 (INI30210) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Eosinophil percentage | eosinophil percentage of leukocytes | 17,227 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003944/ScoringFiles/PGS003944.txt.gz |
| PGS003945 (INI30220) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Basophil percentage | basophil percentage of leukocytes | 3,472 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003945/ScoringFiles/PGS003945.txt.gz |
| PGS004345 (X30000.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
White blood cell (leukocyte) count | leukocyte count | 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 |
| PGS004357 (X30130.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Monocyte count | monocyte count | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004357/ScoringFiles/PGS004357.txt.gz |
| PGS004358 (X30140.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Neutrophill count | neutrophil count | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004358/ScoringFiles/PGS004358.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 |
| PGS004360 (X30190.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Monocyte percentage | monocyte percentage of leukocytes | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004360/ScoringFiles/PGS004360.txt.gz |
| PGS004361 (X30200.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Neutrophill percentage | neutrophil percentage of leukocytes | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004361/ScoringFiles/PGS004361.txt.gz |
| PGS004362 (X30210.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Eosinophill percentage | eosinophil percentage of leukocytes | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004362/ScoringFiles/PGS004362.txt.gz |
| PGS004727 (Basophils_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Basophil count | basophil count | 6,503 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004727/ScoringFiles/PGS004727.txt.gz |
| PGS004728 (Basophils_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Basophil count | basophil count | 6,132,012 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004728/ScoringFiles/PGS004728.txt.gz |
| PGS004729 (Basophils_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Basophil count | basophil count | 1,538,675 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004729/ScoringFiles/PGS004729.txt.gz |
| PGS004730 (Basophils_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Basophil count | basophil count | 6,132,012 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004730/ScoringFiles/PGS004730.txt.gz |
| PGS004761 (Eosinophils_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Eosinophil count | eosinophil count | 1,086,541 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004761/ScoringFiles/PGS004761.txt.gz |
| PGS004762 (Eosinophils_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Eosinophil count | eosinophil count | 4,143,233 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004762/ScoringFiles/PGS004762.txt.gz |
| PGS004763 (Eosinophils_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Eosinophil count | eosinophil count | 3,749,971 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004763/ScoringFiles/PGS004763.txt.gz |
| PGS004764 (Eosinophils_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Eosinophil count | eosinophil count | 1,698,846 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004764/ScoringFiles/PGS004764.txt.gz |
| PGS004801 (Monocytes_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Monocyte count | monocyte count | 1,099,478 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004801/ScoringFiles/PGS004801.txt.gz |
| PGS004802 (Monocytes_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Monocyte count | monocyte count | 2,743,298 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004802/ScoringFiles/PGS004802.txt.gz |
| PGS004803 (Monocytes_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Monocyte count | monocyte count | 3,020,361 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004803/ScoringFiles/PGS004803.txt.gz |
| PGS004804 (Monocytes_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Monocyte count | monocyte count | 2,743,298 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004804/ScoringFiles/PGS004804.txt.gz |
| PGS004805 (Neutrophils_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Neutrophil count | neutrophil count | 595,488 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004805/ScoringFiles/PGS004805.txt.gz |
| PGS004806 (Neutrophils_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Neutrophil count | neutrophil count | 4,190,918 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004806/ScoringFiles/PGS004806.txt.gz |
| PGS004807 (Neutrophils_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Neutrophil count | neutrophil count | 3,498,605 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004807/ScoringFiles/PGS004807.txt.gz |
| PGS004808 (Neutrophils_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Neutrophil count | neutrophil count | 1,877,161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004808/ScoringFiles/PGS004808.txt.gz |
| PGS004855 (WBC_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
White blood cell count | leukocyte count | 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 count | 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 count | 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 count | 6,594,323 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004858/ScoringFiles/PGS004858.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000208 | PGS000088 (baso) |
PSS000153| European Ancestry| 80,944 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Basophil count | — | — | Pearson correlation coefficent (r): 0.20539 | 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) |
| PPM000209 | PGS000088 (baso) |
PSS000127| European Ancestry| 39,986 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Basophil count | — | — | Pearson correlation coefficent (r): 0.20489 | 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) | — |
| PPM000210 | PGS000089 (baso_p) |
PSS000154| European Ancestry| 80,906 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Basophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.18838 | 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) |
| PPM000211 | PGS000089 (baso_p) |
PSS000128| European Ancestry| 40,133 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Basophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.17123 | 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) | — |
| PPM000212 | PGS000090 (eo) |
PSS000155| European Ancestry| 81,294 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Eosinophil count | — | — | Pearson correlation coefficent (r): 0.40991 | 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) |
| PPM000213 | PGS000090 (eo) |
PSS000129| European Ancestry| 40,276 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Eosinophil count | — | — | Pearson correlation coefficent (r): 0.39315 | 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) | — |
| PPM000214 | PGS000091 (eo_p) |
PSS000156| European Ancestry| 81,283 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Eosinophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.39099 | 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) |
| PPM000215 | PGS000091 (eo_p) |
PSS000130| European Ancestry| 40,326 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Eosinophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.37643 | 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) | — |
| 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) | — |
| PPM000236 | PGS000102 (mono) |
PSS000167| European Ancestry| 80,799 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Monocyte count | — | — | Pearson correlation coefficent (r): 0.49849 | 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) |
| PPM000237 | PGS000102 (mono) |
PSS000141| European Ancestry| 39,177 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Monocyte count | — | — | Pearson correlation coefficent (r): 0.47594 | 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) | — |
| PPM000238 | PGS000103 (mono_p) |
PSS000168| European Ancestry| 80,627 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Monocyte percentage of white cells | — | — | Pearson correlation coefficent (r): 0.46271 | 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) |
| PPM000239 | PGS000103 (mono_p) |
PSS000142| European Ancestry| 39,189 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Monocyte percentage of white cells | — | — | Pearson correlation coefficent (r): 0.45879 | 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) | — |
| PPM000242 | PGS000105 (neut) |
PSS000170| European Ancestry| 81,358 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Neutrophil count | — | — | Pearson correlation coefficent (r): 0.36386 | 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) |
| PPM000243 | PGS000105 (neut) |
PSS000144| European Ancestry| 39,138 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Neutrophil count | — | — | Pearson correlation coefficent (r): 0.35194 | 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) | — |
| PPM000244 | PGS000106 (neut_p) |
PSS000171| European Ancestry| 81,423 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Neutrophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.32169 | 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) |
| PPM000245 | PGS000106 (neut_p) |
PSS000145| European Ancestry| 39,190 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Neutrophil percentage of white cells | — | — | Pearson correlation coefficent (r): 0.31935 | 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) | — |
| PPM000546 | PGS000163 (baso) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Basophil count | — | — | R²: 0.0089 | sex, age, 10 genetic PCs | — |
| PPM000519 | PGS000163 (baso) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Basophil count | — | — | R²: 0.02691 | sex, age, 10 genetic PCs | — |
| PPM000520 | PGS000164 (baso_p) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Basophil percentage of white cells | — | — | R²: 0.02544 | sex, age, 10 genetic PCs | — |
| PPM000547 | PGS000165 (eo) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Eosinophil count | — | — | R²: 0.06931 | sex, age, 10 genetic PCs | — |
| PPM000521 | PGS000165 (eo) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Eosinophil count | — | — | R²: 0.11155 | sex, age, 10 genetic PCs | — |
| PPM000522 | PGS000166 (eo_p) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Eosinophil percentage of white cells | — | — | R²: 0.0979 | sex, age, 10 genetic PCs | — |
| 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 | — |
| 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 | — |
| PPM000554 | PGS000177 (mono) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Monocyte count | — | — | R²: 0.09474 | sex, age, 10 genetic PCs | — |
| PPM000533 | PGS000177 (mono) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Monocyte count | — | — | R²: 0.15859 | sex, age, 10 genetic PCs | — |
| PPM000534 | PGS000178 (mono_p) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Monocyte percentage of white cells | — | — | R²: 0.14461 | sex, age, 10 genetic PCs | — |
| PPM000556 | PGS000182 (neut) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Neutrophil count | — | — | R²: 0.06859 | sex, age, 10 genetic PCs | — |
| PPM000536 | PGS000182 (neut) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Neutrophil count | — | — | R²: 0.08009 | sex, age, 10 genetic PCs | — |
| PPM000537 | PGS000183 (neut_p) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Neutrophil percentage of white cells | — | — | R²: 0.06432 | 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 | — | — |
| PPM008138 | PGS001076 (GBE_INI30210) |
PSS007006| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill % | — | — | R²: 0.02749 [0.01965, 0.03533] Incremental R2 (full-covars): 0.01358 PGS R2 (no covariates): 0.01502 [0.00915, 0.02088] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008139 | PGS001076 (GBE_INI30210) |
PSS007007| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill % | — | — | R²: 0.0678 [0.0448, 0.0908] Incremental R2 (full-covars): 0.03179 PGS R2 (no covariates): 0.03326 [0.01655, 0.04996] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008140 | PGS001076 (GBE_INI30210) |
PSS007008| European Ancestry| 24,130 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill % | — | — | R²: 0.10724 [0.09998, 0.1145] Incremental R2 (full-covars): 0.09158 PGS R2 (no covariates): 0.09579 [0.08884, 0.10274] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008141 | PGS001076 (GBE_INI30210) |
PSS007009| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill % | — | — | R²: 0.08004 [0.06852, 0.09157] Incremental R2 (full-covars): 0.0618 PGS R2 (no covariates): 0.06258 [0.05219, 0.07296] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008142 | PGS001076 (GBE_INI30210) |
PSS007010| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill % | — | — | R²: 0.10364 [0.09929, 0.108] Incremental R2 (full-covars): 0.09566 PGS R2 (no covariates): 0.09594 [0.09171, 0.10016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008143 | PGS001077 (GBE_INI30200) |
PSS007001| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill % | — | — | Incremental R2 (full-covars): 0.01344 R²: 0.04156 [0.03206, 0.05106] PGS R2 (no covariates): 0.01383 [0.00819, 0.01946] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008144 | PGS001077 (GBE_INI30200) |
PSS007002| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill % | — | — | R²: 0.07662 [0.0524, 0.10084] Incremental R2 (full-covars): 0.04345 PGS R2 (no covariates): 0.04564 [0.02632, 0.06496] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008145 | PGS001077 (GBE_INI30200) |
PSS007003| European Ancestry| 24,130 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill % | — | — | R²: 0.07418 [0.06792, 0.08044] Incremental R2 (full-covars): 0.07151 PGS R2 (no covariates): 0.07289 [0.06667, 0.0791] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008146 | PGS001077 (GBE_INI30200) |
PSS007004| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill % | — | — | R²: 0.05036 [0.04093, 0.0598] Incremental R2 (full-covars): 0.04554 PGS R2 (no covariates): 0.04441 [0.03549, 0.05333] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008147 | PGS001077 (GBE_INI30200) |
PSS007005| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill % | — | — | R²: 0.08175 [0.07779, 0.08572] Incremental R2 (full-covars): 0.07935 PGS R2 (no covariates): 0.07934 [0.07542, 0.08325] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008148 | PGS001078 (GBE_INI30190) |
PSS006996| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte % | — | — | R²: 0.03107 [0.02277, 0.03938] Incremental R2 (full-covars): 0.01068 PGS R2 (no covariates): 0.01162 [0.00644, 0.0168] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008149 | PGS001078 (GBE_INI30190) |
PSS006997| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte % | — | — | R²: 0.10068 [0.07364, 0.12772] Incremental R2 (full-covars): 0.04628 PGS R2 (no covariates): 0.04808 [0.0283, 0.06786] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008150 | PGS001078 (GBE_INI30190) |
PSS006998| European Ancestry| 24,130 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte % | — | — | R²: 0.12442 [0.11675, 0.13209] Incremental R2 (full-covars): 0.08036 PGS R2 (no covariates): 0.08169 [0.07518, 0.08821] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008151 | PGS001078 (GBE_INI30190) |
PSS006999| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte % | — | — | R²: 0.12434 [0.11066, 0.13801] Incremental R2 (full-covars): 0.05529 PGS R2 (no covariates): 0.05423 [0.04448, 0.06398] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008152 | PGS001078 (GBE_INI30190) |
PSS007000| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte % | — | — | R²: 0.12757 [0.12287, 0.13228] Incremental R2 (full-covars): 0.08527 PGS R2 (no covariates): 0.08574 [0.0817, 0.08978] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008537 | PGS001163 (GBE_INI30130) |
PSS006971| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte count | — | — | R²: 0.02543 [0.01787, 0.03298] Incremental R2 (full-covars): 0.01339 PGS R2 (no covariates): 0.01659 [0.01043, 0.02274] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008538 | PGS001163 (GBE_INI30130) |
PSS006972| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte count | — | — | R²: 0.10427 [0.07686, 0.13168] Incremental R2 (full-covars): 0.03555 PGS R2 (no covariates): 0.04025 [0.022, 0.0585] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008539 | PGS001163 (GBE_INI30130) |
PSS006973| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte count | — | — | R²: 0.12792 [0.12017, 0.13567] Incremental R2 (full-covars): 0.0805 PGS R2 (no covariates): 0.08361 [0.07703, 0.09019] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008540 | PGS001163 (GBE_INI30130) |
PSS006974| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte count | — | — | R²: 0.09808 [0.08557, 0.11059] Incremental R2 (full-covars): 0.05583 PGS R2 (no covariates): 0.05525 [0.04542, 0.06508] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008541 | PGS001163 (GBE_INI30130) |
PSS006975| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Monocyte count | — | — | R²: 0.11973 [0.11513, 0.12432] Incremental R2 (full-covars): 0.081 PGS R2 (no covariates): 0.08138 [0.07742, 0.08533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008570 | PGS001172 (GBE_INI30150) |
PSS006981| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.02165 [0.01465, 0.02865] Incremental R2 (full-covars): 0.01273 PGS R2 (no covariates): 0.01483 [0.009, 0.02067] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008571 | PGS001172 (GBE_INI30150) |
PSS006982| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.07017 [0.04683, 0.09352] Incremental R2 (full-covars): 0.02406 PGS R2 (no covariates): 0.02686 [0.01175, 0.04197] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008572 | PGS001172 (GBE_INI30150) |
PSS006983| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.10592 [0.09869, 0.11315] Incremental R2 (full-covars): 0.08944 PGS R2 (no covariates): 0.0939 [0.08701, 0.1008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008573 | PGS001172 (GBE_INI30150) |
PSS006984| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.06486 [0.05432, 0.07541] Incremental R2 (full-covars): 0.05229 PGS R2 (no covariates): 0.05348 [0.04379, 0.06318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008574 | PGS001172 (GBE_INI30150) |
PSS006985| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eosinophill count | — | — | R²: 0.10264 [0.0983, 0.10698] Incremental R2 (full-covars): 0.09343 PGS R2 (no covariates): 0.09398 [0.08978, 0.09817] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008575 | PGS001173 (GBE_INI30140) |
PSS006976| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.06347 [0.052, 0.07494] Incremental R2 (full-covars): 0.00644 PGS R2 (no covariates): 0.01221 [0.00691, 0.01752] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008576 | PGS001173 (GBE_INI30140) |
PSS006977| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.05754 [0.03611, 0.07896] Incremental R2 (full-covars): 0.037 PGS R2 (no covariates): 0.0354 [0.0182, 0.0526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008577 | PGS001173 (GBE_INI30140) |
PSS006978| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.08794 [0.08123, 0.09466] Incremental R2 (full-covars): 0.07899 PGS R2 (no covariates): 0.08282 [0.07627, 0.08938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008578 | PGS001173 (GBE_INI30140) |
PSS006979| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.07553 [0.06428, 0.08677] Incremental R2 (full-covars): 0.0671 PGS R2 (no covariates): 0.06762 [0.05688, 0.07835] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008579 | PGS001173 (GBE_INI30140) |
PSS006980| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Neutrophill count | — | — | R²: 0.09385 [0.08966, 0.09804] Incremental R2 (full-covars): 0.08871 PGS R2 (no covariates): 0.08935 [0.08524, 0.09346] |
age, sex, UKB array type, Genotype PCs | — |
| 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 | — |
| 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 | — |
| PPM007058 | PGS001377 (GBE_INI30220) |
PSS007014| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill % | — | — | R²: 0.01668 [0.01106, 0.0223] Incremental R2 (full-covars): 0.01178 PGS R2 (no covariates): 0.01253 [0.00763, 0.01742] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007059 | PGS001377 (GBE_INI30220) |
PSS007015| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill % | — | — | R²: 0.01674 [0.01482, 0.01866] Incremental R2 (full-covars): 0.01485 PGS R2 (no covariates): 0.01504 [0.01321, 0.01686] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007055 | PGS001377 (GBE_INI30220) |
PSS007011| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill % | — | — | R²: 0.00639 [0.00253, 0.01025] Incremental R2 (full-covars): 0.00238 PGS R2 (no covariates): 0.00249 [0.00007, 0.00491] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007056 | PGS001377 (GBE_INI30220) |
PSS007012| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill % | — | — | R²: 0.01523 [0.00371, 0.02675] Incremental R2 (full-covars): 0.00867 PGS R2 (no covariates): 0.00896 [0.00007, 0.01786] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007057 | PGS001377 (GBE_INI30220) |
PSS007013| European Ancestry| 24,130 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill % | — | — | R²: 0.01922 [0.01584, 0.0226] Incremental R2 (full-covars): 0.01406 PGS R2 (no covariates): 0.0152 [0.01219, 0.01822] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007045 | PGS001378 (GBE_INI30160) |
PSS006986| African Ancestry| 6,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill count | — | — | R²: 0.0091 [0.0045, 0.01369] Incremental R2 (full-covars): 0.00051 PGS R2 (no covariates): 0.00175 [-0.00028, 0.00379] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007046 | PGS001378 (GBE_INI30160) |
PSS006987| East Asian Ancestry| 1,654 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill count | — | — | R²: 0.01746 [0.00516, 0.02976] Incremental R2 (full-covars): 0.00946 PGS R2 (no covariates): 0.00963 [0.00042, 0.01883] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007047 | PGS001378 (GBE_INI30160) |
PSS006988| European Ancestry| 24,129 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill count | — | — | R²: 0.01903 [0.01567, 0.0224] Incremental R2 (full-covars): 0.01496 PGS R2 (no covariates): 0.01602 [0.01293, 0.01911] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007048 | PGS001378 (GBE_INI30160) |
PSS006989| South Asian Ancestry| 7,491 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill count | — | — | R²: 0.01814 [0.01228, 0.02399] Incremental R2 (full-covars): 0.01206 PGS R2 (no covariates): 0.01266 [0.00775, 0.01758] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007049 | PGS001378 (GBE_INI30160) |
PSS006990| European Ancestry| 65,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Basophill count | — | — | R²: 0.01717 [0.01523, 0.01911] Incremental R2 (full-covars): 0.01451 PGS R2 (no covariates): 0.01475 [0.01294, 0.01655] |
age, sex, UKB array type, Genotype PCs | — |
| 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 | — |
| PPM010467 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS009442| European Ancestry| 11,529 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.2072 [0.1897, 0.2246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010468 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS009216| European Ancestry| 2,282 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.2342 [0.1949, 0.2728] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010469 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS008770| European Ancestry| 3,365 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1724 [0.1393, 0.2051] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010470 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS008544| Greater Middle Eastern Ancestry| 676 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1901 [0.1152, 0.2628] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010471 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS008322| South Asian Ancestry| 4,224 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1678 [0.1382, 0.197] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010472 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS008099| East Asian Ancestry| 983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1291 [0.0665, 0.1907] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010473 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS007886| African Ancestry| 1,291 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.0617 [0.0067, 0.1162] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010474 | PGS001949 (portability-PLR_log_eosinophil_perc) |
PSS008990| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.0967 [0.054, 0.1391] | sex, age, birth date, deprivation index, 16 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 | — |
| 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 | — |
| PPM010619 | PGS001968 (portability-PLR_log_monocyte) |
PSS009457| European Ancestry| 19,384 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.4056 [0.3937, 0.4173] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010620 | PGS001968 (portability-PLR_log_monocyte) |
PSS009231| European Ancestry| 3,993 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3829 [0.3561, 0.4091] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010621 | PGS001968 (portability-PLR_log_monocyte) |
PSS008785| European Ancestry| 6,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3731 [0.3518, 0.394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010622 | PGS001968 (portability-PLR_log_monocyte) |
PSS008559| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3791 [0.328, 0.4279] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010623 | PGS001968 (portability-PLR_log_monocyte) |
PSS008337| South Asian Ancestry| 6,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3366 [0.314, 0.3588] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010624 | PGS001968 (portability-PLR_log_monocyte) |
PSS008114| East Asian Ancestry| 1,760 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.2771 [0.2332, 0.3199] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010625 | PGS001968 (portability-PLR_log_monocyte) |
PSS007901| African Ancestry| 2,336 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.2104 [0.1711, 0.249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010626 | PGS001968 (portability-PLR_log_monocyte) |
PSS009005| African Ancestry| 3,699 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.1892 [0.1579, 0.2202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010629 | PGS001969 (portability-PLR_log_neutrophil) |
PSS008786| European Ancestry| 6,419 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3157 [0.2934, 0.3376] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010627 | PGS001969 (portability-PLR_log_neutrophil) |
PSS009458| European Ancestry| 19,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3305 [0.3179, 0.343] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010628 | PGS001969 (portability-PLR_log_neutrophil) |
PSS009232| European Ancestry| 3,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3137 [0.2853, 0.3414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010631 | PGS001969 (portability-PLR_log_neutrophil) |
PSS008338| South Asian Ancestry| 6,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.2983 [0.2751, 0.3211] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010632 | PGS001969 (portability-PLR_log_neutrophil) |
PSS008115| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.2374 [0.1926, 0.2813] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010633 | PGS001969 (portability-PLR_log_neutrophil) |
PSS007902| African Ancestry| 2,336 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.1856 [0.146, 0.2246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010634 | PGS001969 (portability-PLR_log_neutrophil) |
PSS009006| African Ancestry| 3,697 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.1384 [0.1066, 0.17] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010630 | PGS001969 (portability-PLR_log_neutrophil) |
PSS008560| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.267 [0.212, 0.3204] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM010803 | PGS001991 (portability-PLR_monocyte_perc) |
PSS009474| European Ancestry| 19,244 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4126 [0.4008, 0.4243] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010804 | PGS001991 (portability-PLR_monocyte_perc) |
PSS009248| European Ancestry| 3,963 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4017 [0.3752, 0.4276] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010805 | PGS001991 (portability-PLR_monocyte_perc) |
PSS008802| European Ancestry| 6,368 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4021 [0.3813, 0.4225] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010806 | PGS001991 (portability-PLR_monocyte_perc) |
PSS008576| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4032 [0.3531, 0.4511] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010807 | PGS001991 (portability-PLR_monocyte_perc) |
PSS008354| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3324 [0.3096, 0.3547] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010808 | PGS001991 (portability-PLR_monocyte_perc) |
PSS008131| East Asian Ancestry| 1,744 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3106 [0.2673, 0.3526] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010809 | PGS001991 (portability-PLR_monocyte_perc) |
PSS007918| African Ancestry| 2,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.184 [0.1441, 0.2234] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010810 | PGS001991 (portability-PLR_monocyte_perc) |
PSS009022| African Ancestry| 3,663 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.1696 [0.1379, 0.201] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010852 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS009254| European Ancestry| 3,988 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2971 [0.2684, 0.3252] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010853 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS008808| European Ancestry| 6,413 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2972 [0.2747, 0.3194] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010854 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS008582| Greater Middle Eastern Ancestry| 1,147 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2921 [0.2377, 0.3446] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010855 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS008360| South Asian Ancestry| 6,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2672 [0.2436, 0.2904] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010856 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS008137| East Asian Ancestry| 1,760 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2332 [0.1882, 0.2771] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010857 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS007924| African Ancestry| 2,334 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.166 [0.1261, 0.2054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010858 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS009028| African Ancestry| 3,681 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.1587 [0.1269, 0.1901] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010851 | PGS001997 (portability-PLR_neutrophil_perc) |
PSS009480| European Ancestry| 19,359 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.3059 [0.293, 0.3186] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012184 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS009216| European Ancestry| 2,282 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.2199 [0.1803, 0.2587] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012185 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS008770| European Ancestry| 3,365 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1751 [0.142, 0.2077] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012186 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS008544| Greater Middle Eastern Ancestry| 676 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.18 [0.1049, 0.253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012187 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS008322| South Asian Ancestry| 4,224 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1683 [0.1388, 0.1976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012188 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS008099| East Asian Ancestry| 983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.1159 [0.0531, 0.1778] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012189 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS007886| African Ancestry| 1,291 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.0644 [0.0095, 0.119] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012190 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS008990| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.091 [0.0482, 0.1335] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012183 | PGS002167 (portability-ldpred2_log_eosinophil_perc) |
PSS009442| European Ancestry| 11,529 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Eosinophil percentage | — | — | Partial Correlation (partial-r): 0.2043 [0.1867, 0.2217] | 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 | — |
| 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 | — |
| PPM012335 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS009457| European Ancestry| 19,384 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.4013 [0.3894, 0.4131] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012336 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS009231| European Ancestry| 3,993 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3828 [0.356, 0.4091] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012338 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS008559| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3913 [0.3408, 0.4395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012339 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS008337| South Asian Ancestry| 6,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.326 [0.3033, 0.3484] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012340 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS008114| East Asian Ancestry| 1,760 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.2727 [0.2287, 0.3157] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012341 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS007901| African Ancestry| 2,336 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.2009 [0.1615, 0.2396] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012342 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS009005| African Ancestry| 3,699 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.1818 [0.1503, 0.2128] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012337 | PGS002186 (portability-ldpred2_log_monocyte) |
PSS008785| European Ancestry| 6,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte count | — | — | Partial Correlation (partial-r): 0.3692 [0.3478, 0.3901] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012343 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS009458| European Ancestry| 19,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3263 [0.3137, 0.3388] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012344 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS009232| European Ancestry| 3,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3117 [0.2834, 0.3395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012345 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS008786| European Ancestry| 6,419 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3147 [0.2924, 0.3366] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012346 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS008560| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.2709 [0.2159, 0.3241] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012347 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS008338| South Asian Ancestry| 6,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.3015 [0.2784, 0.3242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012348 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS008115| East Asian Ancestry| 1,761 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.2401 [0.1953, 0.2839] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012349 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS007902| African Ancestry| 2,336 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.1884 [0.1488, 0.2274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012350 | PGS002187 (portability-ldpred2_log_neutrophil) |
PSS009006| African Ancestry| 3,697 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil count | — | — | Partial Correlation (partial-r): 0.1552 [0.1235, 0.1866] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM012511 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS009474| European Ancestry| 19,244 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4079 [0.396, 0.4196] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012512 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS009248| European Ancestry| 3,963 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3935 [0.3668, 0.4196] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012513 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS008802| European Ancestry| 6,368 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3978 [0.3769, 0.4183] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012514 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS008576| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.4047 [0.3546, 0.4524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012516 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS008131| East Asian Ancestry| 1,744 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3023 [0.2587, 0.3445] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012517 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS007918| African Ancestry| 2,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.1887 [0.1488, 0.228] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012518 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS009022| African Ancestry| 3,663 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.1635 [0.1317, 0.1949] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012515 | PGS002208 (portability-ldpred2_monocyte_perc) |
PSS008354| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Monocyte percentage | — | — | Partial Correlation (partial-r): 0.3313 [0.3085, 0.3536] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012559 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS009480| European Ancestry| 19,359 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.3042 [0.2913, 0.3169] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012560 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS009254| European Ancestry| 3,988 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2993 [0.2707, 0.3274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012561 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS008808| European Ancestry| 6,413 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2906 [0.268, 0.3129] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012562 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS008582| Greater Middle Eastern Ancestry| 1,147 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2984 [0.2443, 0.3507] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012563 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS008360| South Asian Ancestry| 6,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2641 [0.2405, 0.2874] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012564 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS008137| East Asian Ancestry| 1,760 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.2471 [0.2025, 0.2907] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012565 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS007924| African Ancestry| 2,334 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.1602 [0.1202, 0.1996] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012566 | PGS002214 (portability-ldpred2_neutrophil_perc) |
PSS009028| African Ancestry| 3,681 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Neutrophil percentage | — | — | Partial Correlation (partial-r): 0.1568 [0.125, 0.1882] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM013090 | PGS002325 (blood_EOSINOPHIL_COUNT.BOLT-LMM) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0299 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013139 | PGS002325 (blood_EOSINOPHIL_COUNT.BOLT-LMM) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0682 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013188 | PGS002325 (blood_EOSINOPHIL_COUNT.BOLT-LMM) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.1407 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013237 | PGS002325 (blood_EOSINOPHIL_COUNT.BOLT-LMM) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.09 | age, sex, age*sex, assessment center, genotyping array, 10 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 | — |
| PPM013106 | PGS002341 (blood_MONOCYTE_COUNT.BOLT-LMM) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0391 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013155 | PGS002341 (blood_MONOCYTE_COUNT.BOLT-LMM) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0668 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013204 | PGS002341 (blood_MONOCYTE_COUNT.BOLT-LMM) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1716 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013253 | PGS002341 (blood_MONOCYTE_COUNT.BOLT-LMM) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1221 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013276 | PGS002364 (blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013299 | PGS002364 (blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0497 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013322 | PGS002364 (blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0044 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013345 | PGS002364 (blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0111 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013284 | PGS002372 (blood_MONOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0059 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013307 | PGS002372 (blood_MONOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0379 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013330 | PGS002372 (blood_MONOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0073 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013353 | PGS002372 (blood_MONOCYTE_COUNT.BOLT-LMM-BBJ) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0068 | 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 | — |
| PPM013378 | PGS002397 (blood_EOSINOPHIL_COUNT.P+T.0.0001) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0027 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013427 | PGS002397 (blood_EOSINOPHIL_COUNT.P+T.0.0001) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0358 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013476 | PGS002397 (blood_EOSINOPHIL_COUNT.P+T.0.0001) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0771 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013525 | PGS002397 (blood_EOSINOPHIL_COUNT.P+T.0.0001) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0491 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013394 | PGS002413 (blood_MONOCYTE_COUNT.P+T.0.0001) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013443 | PGS002413 (blood_MONOCYTE_COUNT.P+T.0.0001) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.072 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013492 | PGS002413 (blood_MONOCYTE_COUNT.P+T.0.0001) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1167 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013541 | PGS002413 (blood_MONOCYTE_COUNT.P+T.0.0001) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0813 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013574 | PGS002446 (blood_EOSINOPHIL_COUNT.P+T.0.001) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013623 | PGS002446 (blood_EOSINOPHIL_COUNT.P+T.0.001) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0309 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013672 | PGS002446 (blood_EOSINOPHIL_COUNT.P+T.0.001) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0744 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013721 | PGS002446 (blood_EOSINOPHIL_COUNT.P+T.0.001) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0298 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013590 | PGS002462 (blood_MONOCYTE_COUNT.P+T.0.001) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013639 | PGS002462 (blood_MONOCYTE_COUNT.P+T.0.001) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0556 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013688 | PGS002462 (blood_MONOCYTE_COUNT.P+T.0.001) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1119 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013737 | PGS002462 (blood_MONOCYTE_COUNT.P+T.0.001) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.072 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013770 | PGS002495 (blood_EOSINOPHIL_COUNT.P+T.0.01) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013819 | PGS002495 (blood_EOSINOPHIL_COUNT.P+T.0.01) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0108 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013868 | PGS002495 (blood_EOSINOPHIL_COUNT.P+T.0.01) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.053 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013917 | PGS002495 (blood_EOSINOPHIL_COUNT.P+T.0.01) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0191 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013835 | PGS002511 (blood_MONOCYTE_COUNT.P+T.0.01) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0163 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013884 | PGS002511 (blood_MONOCYTE_COUNT.P+T.0.01) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0568 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013786 | PGS002511 (blood_MONOCYTE_COUNT.P+T.0.01) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013933 | PGS002511 (blood_MONOCYTE_COUNT.P+T.0.01) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0235 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013966 | PGS002544 (blood_EOSINOPHIL_COUNT.P+T.1e-06) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0094 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014015 | PGS002544 (blood_EOSINOPHIL_COUNT.P+T.1e-06) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0334 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014064 | PGS002544 (blood_EOSINOPHIL_COUNT.P+T.1e-06) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0633 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014113 | PGS002544 (blood_EOSINOPHIL_COUNT.P+T.1e-06) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0426 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM013982 | PGS002560 (blood_MONOCYTE_COUNT.P+T.1e-06) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0238 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014031 | PGS002560 (blood_MONOCYTE_COUNT.P+T.1e-06) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0645 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014080 | PGS002560 (blood_MONOCYTE_COUNT.P+T.1e-06) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1053 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014129 | PGS002560 (blood_MONOCYTE_COUNT.P+T.1e-06) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.077 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM014162 | PGS002593 (blood_EOSINOPHIL_COUNT.P+T.5e-08) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014211 | PGS002593 (blood_EOSINOPHIL_COUNT.P+T.5e-08) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0318 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014260 | PGS002593 (blood_EOSINOPHIL_COUNT.P+T.5e-08) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0573 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014309 | PGS002593 (blood_EOSINOPHIL_COUNT.P+T.5e-08) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0387 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM014178 | PGS002609 (blood_MONOCYTE_COUNT.P+T.5e-08) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0222 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014227 | PGS002609 (blood_MONOCYTE_COUNT.P+T.5e-08) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0591 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014276 | PGS002609 (blood_MONOCYTE_COUNT.P+T.5e-08) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0991 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014325 | PGS002609 (blood_MONOCYTE_COUNT.P+T.5e-08) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0716 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM014407 | PGS002642 (blood_EOSINOPHIL_COUNT.PolyFun-pred) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0799 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014358 | PGS002642 (blood_EOSINOPHIL_COUNT.PolyFun-pred) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.037 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014456 | PGS002642 (blood_EOSINOPHIL_COUNT.PolyFun-pred) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1552 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014505 | PGS002642 (blood_EOSINOPHIL_COUNT.PolyFun-pred) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| 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 |
| PPM014521 | PGS002658 (blood_MONOCYTE_COUNT.PolyFun-pred) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1406 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014374 | PGS002658 (blood_MONOCYTE_COUNT.PolyFun-pred) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014423 | PGS002658 (blood_MONOCYTE_COUNT.PolyFun-pred) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0939 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014472 | PGS002658 (blood_MONOCYTE_COUNT.PolyFun-pred) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1972 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_MONOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| 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 |
| PPM014603 | PGS002691 (blood_EOSINOPHIL_COUNT.SBayesR) |
PSS009744| East Asian Ancestry| 880 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0679 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014554 | PGS002691 (blood_EOSINOPHIL_COUNT.SBayesR) |
PSS009743| African Ancestry| 6,017 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0323 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014652 | PGS002691 (blood_EOSINOPHIL_COUNT.SBayesR) |
PSS009745| European Ancestry| 41,583 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.1288 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014701 | PGS002691 (blood_EOSINOPHIL_COUNT.SBayesR) |
PSS009746| South Asian Ancestry| 7,446 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (full model vs. covariates alone): 0.0858 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM014570 | PGS002707 (blood_MONOCYTE_COUNT.SBayesR) |
PSS009807| African Ancestry| 6,119 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0361 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014619 | PGS002707 (blood_MONOCYTE_COUNT.SBayesR) |
PSS009808| East Asian Ancestry| 894 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.0896 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014717 | PGS002707 (blood_MONOCYTE_COUNT.SBayesR) |
PSS009810| South Asian Ancestry| 7,718 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1212 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014668 | PGS002707 (blood_MONOCYTE_COUNT.SBayesR) |
PSS009809| European Ancestry| 41,863 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Monocyte Count | — | — | Incremental R2 (full model vs. covariates alone): 0.1669 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM017274 | PGS003464 (LDPred2_EOS) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.002 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017297 | PGS003464 (LDPred2_EOS) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.014 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| 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 | — |
| PPM017458 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010894| European Ancestry| 11,449 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017542 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010810| European Ancestry| 2,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017710 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010558| Greater Middle Eastern Ancestry| 659 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017794 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010222| European Ancestry| 1,249 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017878 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010474| South Asian Ancestry| 4,192 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018046 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010306| African Ancestry| 1,285 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018130 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010726| African Ancestry| 2,085 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017626 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010642| European Ancestry| 3,283 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017962 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010390| East Asian Ancestry| 973 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017469 | PGS003541 (cont-decay-log_leukocyte) |
PSS010906| European Ancestry| 19,415 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017472 | PGS003544 (cont-decay-log_monocyte) |
PSS010909| European Ancestry| 19,376 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017640 | PGS003544 (cont-decay-log_monocyte) |
PSS010657| European Ancestry| 6,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017724 | PGS003544 (cont-decay-log_monocyte) |
PSS010573| Greater Middle Eastern Ancestry| 1,121 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017808 | PGS003544 (cont-decay-log_monocyte) |
PSS010237| European Ancestry| 2,256 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017892 | PGS003544 (cont-decay-log_monocyte) |
PSS010489| South Asian Ancestry| 6,008 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017976 | PGS003544 (cont-decay-log_monocyte) |
PSS010405| East Asian Ancestry| 1,748 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018060 | PGS003544 (cont-decay-log_monocyte) |
PSS010321| African Ancestry| 2,323 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018144 | PGS003544 (cont-decay-log_monocyte) |
PSS010741| African Ancestry| 3,670 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017556 | PGS003544 (cont-decay-log_monocyte) |
PSS010825| European Ancestry| 3,982 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017473 | PGS003545 (cont-decay-log_neutrophil) |
PSS010910| European Ancestry| 19,374 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017557 | PGS003545 (cont-decay-log_neutrophil) |
PSS010826| European Ancestry| 3,981 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017641 | PGS003545 (cont-decay-log_neutrophil) |
PSS010658| European Ancestry| 6,260 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017725 | PGS003545 (cont-decay-log_neutrophil) |
PSS010574| Greater Middle Eastern Ancestry| 1,119 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017809 | PGS003545 (cont-decay-log_neutrophil) |
PSS010238| European Ancestry| 2,259 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017893 | PGS003545 (cont-decay-log_neutrophil) |
PSS010490| South Asian Ancestry| 6,008 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017977 | PGS003545 (cont-decay-log_neutrophil) |
PSS010406| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018061 | PGS003545 (cont-decay-log_neutrophil) |
PSS010322| African Ancestry| 2,323 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018145 | PGS003545 (cont-decay-log_neutrophil) |
PSS010742| African Ancestry| 3,668 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017905 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010503| South Asian Ancestry| 6,004 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017485 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010923| European Ancestry| 19,370 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017989 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010419| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017574 | PGS003562 (cont-decay-monocyte_perc) |
PSS010845| European Ancestry| 3,952 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017658 | PGS003562 (cont-decay-monocyte_perc) |
PSS010677| European Ancestry| 6,213 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017826 | PGS003562 (cont-decay-monocyte_perc) |
PSS010257| European Ancestry| 2,241 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017910 | PGS003562 (cont-decay-monocyte_perc) |
PSS010509| South Asian Ancestry| 5,958 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017994 | PGS003562 (cont-decay-monocyte_perc) |
PSS010425| East Asian Ancestry| 1,732 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018078 | PGS003562 (cont-decay-monocyte_perc) |
PSS010341| African Ancestry| 2,285 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018162 | PGS003562 (cont-decay-monocyte_perc) |
PSS010761| African Ancestry| 3,634 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017490 | PGS003562 (cont-decay-monocyte_perc) |
PSS010929| European Ancestry| 19,237 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017742 | PGS003562 (cont-decay-monocyte_perc) |
PSS010593| Greater Middle Eastern Ancestry| 1,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017494 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010933| European Ancestry| 19,342 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017662 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010681| European Ancestry| 6,254 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017746 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010597| Greater Middle Eastern Ancestry| 1,117 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017830 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010261| European Ancestry| 2,256 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017914 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010513| South Asian Ancestry| 6,003 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017998 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010429| East Asian Ancestry| 1,748 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018082 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010345| African Ancestry| 2,321 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018166 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010765| African Ancestry| 3,652 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017578 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010849| European Ancestry| 3,977 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil 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) | — |
| PPM019004 | PGS003937 (INI30130) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte count | — | — | R²: 0.12426 [0.11961, 0.12891] PGS R2 (no covariates): 0.08189 [0.07793, 0.08585] Incremental R2 (full-covars): 0.08198 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019005 | PGS003937 (INI30130) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte count | — | — | R²: 0.14509 [0.12139, 0.16879] PGS R2 (no covariates): 0.0898 [0.06995, 0.10965] Incremental R2 (full-covars): 0.08851 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019006 | PGS003937 (INI30130) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte count | — | — | R²: 0.11251 [0.08232, 0.1427] PGS R2 (no covariates): 0.07028 [0.04528, 0.09527] Incremental R2 (full-covars): 0.06806 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019007 | PGS003937 (INI30130) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte count | — | — | R²: 0.0334 [0.01357, 0.05322] PGS R2 (no covariates): 0.03342 [0.01359, 0.05325] Incremental R2 (full-covars): 0.02807 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019008 | PGS003937 (INI30130) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte count | — | — | R²: 0.11068 [0.09772, 0.12363] PGS R2 (no covariates): 0.07932 [0.06797, 0.09067] Incremental R2 (full-covars): 0.06798 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019009 | PGS003938 (INI30140) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil count | — | — | R²: 0.10887 [0.10444, 0.1133] PGS R2 (no covariates): 0.09021 [0.0861, 0.09433] Incremental R2 (full-covars): 0.08972 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019010 | PGS003938 (INI30140) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil count | — | — | R²: 0.11328 [0.09156, 0.13501] PGS R2 (no covariates): 0.09258 [0.07249, 0.11268] Incremental R2 (full-covars): 0.09167 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019011 | PGS003938 (INI30140) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil count | — | — | R²: 0.0886 [0.06109, 0.11611] PGS R2 (no covariates): 0.08009 [0.05369, 0.10649] Incremental R2 (full-covars): 0.07779 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019012 | PGS003938 (INI30140) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil count | — | — | R²: 0.07013 [0.0425, 0.09777] PGS R2 (no covariates): 0.05672 [0.03151, 0.08193] Incremental R2 (full-covars): 0.05374 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019013 | PGS003938 (INI30140) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil count | — | — | R²: 0.10909 [0.0962, 0.12197] PGS R2 (no covariates): 0.09632 [0.08404, 0.1086] Incremental R2 (full-covars): 0.07245 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019014 | PGS003939 (INI30150) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil count | — | — | R²: 0.10132 [0.09701, 0.10563] PGS R2 (no covariates): 0.09268 [0.08852, 0.09684] Incremental R2 (full-covars): 0.0925 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019015 | PGS003939 (INI30150) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil count | — | — | R²: 0.08417 [0.06484, 0.10351] PGS R2 (no covariates): 0.0719 [0.05379, 0.09001] Incremental R2 (full-covars): 0.07156 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019016 | PGS003939 (INI30150) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil count | — | — | R²: 0.05308 [0.03095, 0.0752] PGS R2 (no covariates): 0.048 [0.02685, 0.06916] Incremental R2 (full-covars): 0.04773 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019017 | PGS003939 (INI30150) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil count | — | — | R²: 0.01311 [0.00043, 0.0258] PGS R2 (no covariates): 0.00652 [-0.00248, 0.01551] Incremental R2 (full-covars): 0.00319 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019018 | PGS003939 (INI30150) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil count | — | — | R²: 0.09274 [0.08064, 0.10484] PGS R2 (no covariates): 0.06898 [0.05827, 0.07969] Incremental R2 (full-covars): 0.06441 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019019 | PGS003940 (INI30160) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil count | — | — | R²: 0.01943 [0.01737, 0.02149] PGS R2 (no covariates): 0.01516 [0.01334, 0.01699] Incremental R2 (full-covars): 0.01498 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019021 | PGS003940 (INI30160) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil count | — | — | R²: 0.00683 [-0.00149, 0.01515] PGS R2 (no covariates): 0.00551 [-0.00198, 0.013] Incremental R2 (full-covars): 0.00504 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019020 | PGS003940 (INI30160) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil count | — | — | R²: 0.02167 [0.01119, 0.03216] PGS R2 (no covariates): 0.01847 [0.00876, 0.02818] Incremental R2 (full-covars): 0.01766 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019022 | PGS003940 (INI30160) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil count | — | — | R²: 0.00981 [-0.00119, 0.02082] PGS R2 (no covariates): 0.00446 [-0.003, 0.01192] Incremental R2 (full-covars): 0.00447 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019023 | PGS003940 (INI30160) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil count | — | — | R²: 0.02131 [0.01506, 0.02757] PGS R2 (no covariates): 0.01354 [0.00851, 0.01856] Incremental R2 (full-covars): 0.01229 |
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) | — |
| PPM019029 | PGS003942 (INI30190) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte percentage | — | — | R²: 0.1281 [0.1234, 0.1328] PGS R2 (no covariates): 0.08549 [0.08146, 0.08952] Incremental R2 (full-covars): 0.0852 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019030 | PGS003942 (INI30190) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte percentage | — | — | R²: 0.1222 [0.09987, 0.14453] PGS R2 (no covariates): 0.08548 [0.06603, 0.10494] Incremental R2 (full-covars): 0.08222 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019031 | PGS003942 (INI30190) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte percentage | — | — | R²: 0.15234 [0.11879, 0.18589] PGS R2 (no covariates): 0.07059 [0.04555, 0.09563] Incremental R2 (full-covars): 0.06921 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019032 | PGS003942 (INI30190) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte percentage | — | — | R²: 0.03382 [0.01388, 0.05376] PGS R2 (no covariates): 0.01755 [0.00294, 0.03215] Incremental R2 (full-covars): 0.01822 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019033 | PGS003942 (INI30190) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Monocyte percentage | — | — | R²: 0.08833 [0.07647, 0.1002] PGS R2 (no covariates): 0.0562 [0.0464, 0.06599] Incremental R2 (full-covars): 0.04903 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019034 | PGS003943 (INI30200) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil percentage | — | — | R²: 0.0952 [0.091, 0.09941] PGS R2 (no covariates): 0.08263 [0.07866, 0.0866] Incremental R2 (full-covars): 0.08285 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019035 | PGS003943 (INI30200) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil percentage | — | — | R²: 0.08975 [0.0699, 0.10959] PGS R2 (no covariates): 0.08096 [0.06193, 0.09999] Incremental R2 (full-covars): 0.08129 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019037 | PGS003943 (INI30200) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil percentage | — | — | R²: 0.06709 [0.03997, 0.09421] PGS R2 (no covariates): 0.04252 [0.02036, 0.06467] Incremental R2 (full-covars): 0.03641 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019038 | PGS003943 (INI30200) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil percentage | — | — | R²: 0.1212 [0.1078, 0.1346] PGS R2 (no covariates): 0.09346 [0.08132, 0.10559] Incremental R2 (full-covars): 0.06663 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019036 | PGS003943 (INI30200) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Neutrophil percentage | — | — | R²: 0.05999 [0.03664, 0.08334] PGS R2 (no covariates): 0.04709 [0.02612, 0.06807] Incremental R2 (full-covars): 0.04754 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019039 | PGS003944 (INI30210) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil percentage | — | — | R²: 0.10224 [0.09792, 0.10657] PGS R2 (no covariates): 0.09455 [0.09036, 0.09874] Incremental R2 (full-covars): 0.09429 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019040 | PGS003944 (INI30210) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil percentage | — | — | R²: 0.06945 [0.0516, 0.0873] PGS R2 (no covariates): 0.05892 [0.04229, 0.07554] Incremental R2 (full-covars): 0.05918 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019041 | PGS003944 (INI30210) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil percentage | — | — | R²: 0.07575 [0.04995, 0.10155] PGS R2 (no covariates): 0.06543 [0.04119, 0.08968] Incremental R2 (full-covars): 0.06438 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019042 | PGS003944 (INI30210) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil percentage | — | — | R²: 0.01699 [0.00261, 0.03136] PGS R2 (no covariates): 0.00576 [-0.00271, 0.01422] Incremental R2 (full-covars): -0.00348 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019043 | PGS003944 (INI30210) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Eosinophil percentage | — | — | R²: 0.09676 [0.08445, 0.10906] PGS R2 (no covariates): 0.07585 [0.0647, 0.08699] Incremental R2 (full-covars): 0.07466 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019044 | PGS003945 (INI30220) |
PSS011139| European Ancestry| 65,814 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil percentage | — | — | R²: 0.01773 [0.01576, 0.01971] PGS R2 (no covariates): 0.01574 [0.01388, 0.0176] Incremental R2 (full-covars): 0.01546 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019046 | PGS003945 (INI30220) |
PSS011112| South Asian Ancestry| 1,428 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil percentage | — | — | R²: 0.00464 [-0.00224, 0.01152] PGS R2 (no covariates): 0.00472 [-0.00221, 0.01166] Incremental R2 (full-covars): 0.00423 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019047 | PGS003945 (INI30220) |
PSS011154| African Ancestry| 1,154 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil percentage | — | — | R²: 0.00436 [-0.00302, 0.01174] PGS R2 (no covariates): 0.002 [-0.00301, 0.007] Incremental R2 (full-covars): 0.00188 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019048 | PGS003945 (INI30220) |
PSS011168| Multi-ancestry (excluding European)| 7,732 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil percentage | — | — | R²: 0.02293 [0.01645, 0.02941] PGS R2 (no covariates): 0.01249 [0.00766, 0.01732] Incremental R2 (full-covars): 0.01169 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019045 | PGS003945 (INI30220) |
PSS011110| European Ancestry| 2,810 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Basophil percentage | — | — | R²: 0.02094 [0.01063, 0.03125] PGS R2 (no covariates): 0.01757 [0.00809, 0.02705] Incremental R2 (full-covars): 0.01716 |
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 | — | — |
| PPM020472 | PGS004357 (X30130.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Monocyte count | — | — | PGS R2 (no covariates): 0.26078 | — | — |
| PPM020473 | PGS004358 (X30140.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Neutrophill count | — | — | PGS R2 (no covariates): 0.22972 | — | — |
| 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 | — | — |
| PPM020475 | PGS004360 (X30190.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Monocyte percentage | — | — | PGS R2 (no covariates): 0.24644 | — | — |
| PPM020476 | PGS004361 (X30200.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Neutrophill percentage | — | — | PGS R2 (no covariates): 0.20984 | — | — |
| PPM020477 | PGS004362 (X30210.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Eosinophill percentage | — | — | PGS R2 (no covariates): 0.25942 | — | — |
| PPM020952 | PGS004727 (Basophils_PRSmix_eur) |
PSS011482| European Ancestry| 3,385 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Basophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.014 [0.006, 0.022] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020953 | PGS004728 (Basophils_PRSmix_sas) |
PSS011463| South Asian Ancestry| 7,096 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Basophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.018 [0.012, 0.024] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020954 | PGS004729 (Basophils_PRSmixPlus_eur) |
PSS011482| European Ancestry| 3,385 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Basophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.023 [0.013, 0.033] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020955 | PGS004730 (Basophils_PRSmixPlus_sas) |
PSS011463| South Asian Ancestry| 7,096 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Basophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.03 [0.022, 0.038] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020986 | PGS004761 (Eosinophils_PRSmix_eur) |
PSS011492| European Ancestry| 3,464 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.097 [0.078, 0.116] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020987 | PGS004762 (Eosinophils_PRSmix_sas) |
PSS011464| South Asian Ancestry| 7,056 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.091 [0.078, 0.104] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020988 | PGS004763 (Eosinophils_PRSmixPlus_eur) |
PSS011492| European Ancestry| 3,464 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.103 [0.083, 0.122] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020989 | PGS004764 (Eosinophils_PRSmixPlus_sas) |
PSS011464| South Asian Ancestry| 7,056 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Eosinophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.098 [0.085, 0.112] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021026 | PGS004801 (Monocytes_PRSmix_eur) |
PSS011501| European Ancestry| 3,587 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Monocyte count | — | — | Incremental R2 (Full model versus model with only covariates): 0.109 [0.09, 0.129] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021027 | PGS004802 (Monocytes_PRSmix_sas) |
PSS011467| South Asian Ancestry| 7,098 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Monocyte count | — | — | Incremental R2 (Full model versus model with only covariates): 0.13 [0.115, 0.144] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021028 | PGS004803 (Monocytes_PRSmixPlus_eur) |
PSS011501| European Ancestry| 3,587 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Monocyte count | — | — | Incremental R2 (Full model versus model with only covariates): 0.117 [0.097, 0.137] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021029 | PGS004804 (Monocytes_PRSmixPlus_sas) |
PSS011467| South Asian Ancestry| 7,098 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Monocyte count | — | — | Incremental R2 (Full model versus model with only covariates): 0.138 [0.123, 0.153] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021030 | PGS004805 (Neutrophils_PRSmix_eur) |
PSS011502| European Ancestry| 3,495 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Neutrophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.057 [0.042, 0.072] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021031 | PGS004806 (Neutrophils_PRSmix_sas) |
PSS011468| South Asian Ancestry| 7,099 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Neutrophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.05 [0.04, 0.06] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021032 | PGS004807 (Neutrophils_PRSmixPlus_eur) |
PSS011502| European Ancestry| 3,495 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Neutrophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.065 [0.049, 0.081] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021033 | PGS004808 (Neutrophils_PRSmixPlus_sas) |
PSS011468| South Asian Ancestry| 7,099 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Neutrophil count | — | — | Incremental R2 (Full model versus model with only covariates): 0.055 [0.045, 0.066] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| 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) |
|
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 | — |
| PSS008137 | — | — | 1,760 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009873 | — | — | 42,026 individuals | — | European | Non-British European | UKB | — |
| PSS009874 | — | — | 7,769 individuals | — | South Asian | — | UKB | — |
| PSS010657 | — | — | 6,264 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010658 | — | — | 6,260 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010671 | — | — | 6,258 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010677 | — | — | 6,213 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010681 | — | — | 6,254 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 | — |
| PSS000127 | — | — | 39,986 individuals, 50.0 % Male samples |
Mean = 43.87 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000128 | — | — | 40,133 individuals, 50.0 % Male samples |
Mean = 43.92 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000129 | — | — | 40,276 individuals, 49.0 % Male samples |
Mean = 43.84 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000130 | — | — | 40,326 individuals, 49.0 % Male samples |
Mean = 43.83 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS009216 | — | — | 2,282 individuals | — | European | Poland (NE Europe) | UKB | — |
| 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 | — |
| PSS000141 | — | — | 39,177 individuals, 50.0 % Male samples |
Mean = 43.82 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000142 | — | — | 39,189 individuals, 50.0 % Male samples |
Mean = 43.83 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS009231 | — | — | 3,993 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000144 | — | — | 39,138 individuals, 50.0 % Male samples |
Mean = 43.84 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000145 | — | — | 39,190 individuals, 50.0 % Male samples |
Mean = 43.83 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS009232 | — | — | 3,992 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010726 | — | — | 2,085 individuals, 50.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010222 | — | — | 1,249 individuals, 48.0 % Male samples |
Mean = 58.2 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS000152 | — | — | 40,466 individuals, 49.0 % Male samples |
Mean = 43.84 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000153 | — | — | 80,944 individuals, 46.0 % Male samples |
Mean = 57.21 years Range = [40.05, 70.91] years |
European | — | UKB | — |
| PSS000154 | — | — | 80,906 individuals, 46.0 % Male samples |
Mean = 57.2 years Range = [40.18, 72.91] years |
European | — | UKB | — |
| PSS000155 | — | — | 81,294 individuals, 46.0 % Male samples |
Mean = 57.2 years Range = [39.98, 72.44] years |
European | — | UKB | — |
| PSS000156 | — | — | 81,283 individuals, 45.0 % Male samples |
Mean = 57.19 years Range = [38.87, 71.1] years |
European | — | UKB | — |
| PSS010738 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010741 | — | — | 3,670 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 | — |
| PSS009248 | — | — | 3,963 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 | — |
| PSS010237 | — | — | 2,256 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010238 | — | — | 2,259 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009254 | — | — | 3,988 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000167 | — | — | 80,799 individuals, 46.0 % Male samples |
Mean = 57.23 years Range = [39.66, 70.7] years |
European | — | UKB | — |
| PSS000168 | — | — | 80,627 individuals, 46.0 % Male samples |
Mean = 57.23 years Range = [40.19, 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 | — |
| PSS000170 | — | — | 81,358 individuals, 45.0 % Male samples |
Mean = 57.19 years Range = [40.19, 72.44] years |
European | — | UKB | — |
| PSS000171 | — | — | 81,423 individuals, 46.0 % Male samples |
Mean = 57.25 years Range = [39.99, 70.5] years |
European | — | UKB | — |
| PSS010761 | — | — | 3,634 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 | — |
| PSS010765 | — | — | 3,652 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010257 | — | — | 2,241 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010261 | — | — | 2,256 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS008770 | — | — | 3,365 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008779 | — | — | 6,437 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008782 | — | — | 6,421 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008785 | — | — | 6,423 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008786 | — | — | 6,419 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011463 | — | — | 7,096 individuals | — | South Asian | — | G&H | — |
| PSS011464 | — | — | 7,056 individuals | — | South Asian | — | G&H | — |
| PSS011467 | — | — | 7,098 individuals | — | South Asian | — | G&H | — |
| PSS011468 | — | — | 7,099 individuals | — | South Asian | — | G&H | — |
| PSS010810 | — | — | 2,277 individuals, 42.0 % Male samples |
Mean = 54.5 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS008801 | — | — | 6,417 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008802 | — | — | 6,368 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011477 | — | — | 7,058 individuals | — | South Asian | — | G&H | — |
| PSS008808 | — | — | 6,413 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010306 | — | — | 1,285 individuals, 40.0 % Male samples |
Mean = 52.3 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011482 | — | — | 3,385 individuals | — | European | — | AllofUs | — |
| PSS010822 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010825 | — | — | 3,982 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010826 | — | — | 3,981 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 | — |
| PSS010321 | — | — | 2,323 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010322 | — | — | 2,323 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011492 | — | — | 3,464 individuals | — | European | — | AllofUs | — |
| PSS010839 | — | — | 3,981 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS011501 | — | — | 3,587 individuals | — | European | — | AllofUs | — |
| PSS011502 | — | — | 3,495 individuals | — | European | — | AllofUs | — |
| PSS008322 | — | — | 4,224 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010845 | — | — | 3,952 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 | — |
| PSS010849 | — | — | 3,977 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS011512 | — | — | 5,118 individuals | — | European | — | AllofUs | — |
| PSS008331 | — | — | 6,078 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010341 | — | — | 2,285 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS008334 | — | — | 6,058 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007886 | — | — | 1,291 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010345 | — | — | 2,321 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS008337 | — | — | 6,060 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008338 | — | — | 6,060 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008353 | — | — | 6,056 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008354 | — | — | 6,010 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 | — |
| PSS008360 | — | — | 6,055 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011113 | — | — | 1,433 individuals | — | South Asian | — | UKB | — |
| PSS011112 | — | — | 1,428 individuals | — | South Asian | — | UKB | — |
| PSS010894 | — | — | 11,449 individuals, 50.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007895 | — | — | 2,343 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010390 | — | — | 973 individuals, 38.0 % Male samples |
Mean = 52.5 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS006966 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006967 | — | — | 1,654 individuals | — | East Asian | — | 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) |
| PSS006971 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006972 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006973 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006974 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006975 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006976 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006977 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006978 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006979 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006980 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006981 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006982 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006983 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006984 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006985 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006986 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006987 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006988 | — | — | 24,129 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006989 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS006990 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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) |
| PSS006996 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS006997 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS006998 | — | — | 24,130 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006999 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS007000 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007001 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS007002 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS007003 | — | — | 24,130 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007004 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS007005 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007006 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS007007 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS007008 | — | — | 24,130 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007009 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS007010 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007011 | — | — | 6,120 individuals | — | African unspecified | — | UKB | — |
| PSS007012 | — | — | 1,654 individuals | — | East Asian | — | UKB | — |
| PSS007013 | — | — | 24,130 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007014 | — | — | 7,491 individuals | — | South Asian | — | UKB | — |
| PSS007015 | — | — | 65,520 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009451 | — | — | 19,419 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009454 | — | — | 19,387 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009457 | — | — | 19,384 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009458 | — | — | 19,382 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS007898 | — | — | 2,337 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007917 | — | — | 2,337 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007918 | — | — | 2,298 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007924 | — | — | 2,334 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010405 | — | — | 1,748 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010406 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS009473 | — | — | 19,383 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009474 | — | — | 19,244 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009480 | — | — | 19,359 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010474 | — | — | 4,192 individuals, 58.0 % Male samples |
Mean = 53.4 years Sd = 8.5 years |
South Asian | Indian | UKB | — |
| PSS010486 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008990 | — | — | 2,100 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010489 | — | — | 6,008 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010490 | — | — | 6,008 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010923 | — | — | 19,370 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS009442 | — | — | 11,529 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008999 | — | — | 3,711 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009002 | — | — | 3,699 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009005 | — | — | 3,699 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009006 | — | — | 3,697 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 | — |
| PSS010509 | — | — | 5,958 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010909 | — | — | 19,376 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011154 | — | — | 1,154 individuals | — | African unspecified | — | UKB | — |
| PSS010419 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010513 | — | — | 6,003 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS011155 | — | — | 1,157 individuals | — | African unspecified | — | UKB | — |
| PSS011136 | — | — | 65,932 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS010929 | — | — | 19,237 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS009021 | — | — | 3,695 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009022 | — | — | 3,663 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS007901 | — | — | 2,336 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009028 | — | — | 3,681 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009743 | — | — | 6,017 individuals | — | African unspecified | — | UKB | — |
| PSS009744 | — | — | 880 individuals | — | East Asian | — | UKB | — |
| PSS009745 | — | — | 41,583 individuals | — | European | Non-British European | UKB | — |
| PSS009746 | — | — | 7,446 individuals | — | South Asian | — | UKB | — |
| PSS010933 | — | — | 19,342 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010910 | — | — | 19,374 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010425 | — | — | 1,732 individuals, 34.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS007902 | — | — | 2,336 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS008544 | — | — | 676 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010558 | — | — | 659 individuals, 65.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010402 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010429 | — | — | 1,748 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| 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 | — |
| PSS008559 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008560 | — | — | 1,149 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 | — |
| PSS011166 | — | — | 7,746 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS010573 | — | — | 1,121 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010574 | — | — | 1,119 individuals, 60.0 % 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 | — |
| PSS011168 | — | — | 7,732 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| 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 | — |
| PSS008576 | — | — | 1,144 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010906 | — | — | 19,415 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | 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 | — |
| PSS011139 | — | — | 65,814 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS008582 | — | — | 1,147 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009807 | — | — | 6,119 individuals | — | African unspecified | — | UKB | — |
| PSS009808 | — | — | 894 individuals | — | East Asian | — | UKB | — |
| PSS009809 | — | — | 41,863 individuals | — | European | Non-British European | UKB | — |
| PSS009810 | — | — | 7,718 individuals | — | South Asian | — | UKB | — |
| PSS010593 | — | — | 1,114 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010597 | — | — | 1,117 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010742 | — | — | 3,668 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS008099 | — | — | 983 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008108 | — | — | 1,762 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008111 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008114 | — | — | 1,760 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008115 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010642 | — | — | 3,283 individuals, 51.0 % Male samples |
Mean = 54.8 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS008130 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008131 | — | — | 1,744 individuals | — | East Asian | China (East Asia) | UKB | — |