Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0004833 |
Description | The number of granulocytes (polymorphonuclear leukocytes) in a specified volume of blood, usually 1 cubic millimeter. | Trait category |
Hematological measurement
|
Synonym | blood neutrophil count |
Mapped terms |
4 mapped terms
|
Child trait(s) | neutrophil percentage of leukocytes |
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) |
---|---|---|---|---|---|---|
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 | |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
---|---|---|---|---|---|---|---|---|---|
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) | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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 | — |
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) | — |
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) | — |
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 | — | — |
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 | — | — |
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) |
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 |
---|---|---|---|---|---|---|---|---|
PSS009028 | — | — | 3,681 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS010910 | — | — | 19,374 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
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) |
PSS008137 | — | — | 1,760 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010658 | — | — | 6,260 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
PSS010406 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
PSS008786 | — | — | 6,419 individuals | — | European | Italy (South Europe) | UKB | — |
PSS011154 | — | — | 1,154 individuals | — | African unspecified | — | UKB | — |
PSS010933 | — | — | 19,342 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
PSS011468 | — | — | 7,099 individuals | — | South Asian | — | G&H | — |
PSS007902 | — | — | 2,336 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS010681 | — | — | 6,254 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
PSS011168 | — | — | 7,732 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
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) |
PSS010429 | — | — | 1,748 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
PSS008808 | — | — | 6,413 individuals | — | European | Italy (South Europe) | UKB | — |
PSS000290 | — | — | 2,314 individuals | — | European (French Canadian) |
— | CARTaGENE | — |
PSS000291 | — | — | 39,260 individuals | — | European | — | INTERVAL | — |
PSS008560 | — | — | 1,149 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS010826 | — | — | 3,981 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
PSS009458 | — | — | 19,382 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS007924 | — | — | 2,334 individuals | — | African American or Afro-Caribbean | Carribean | 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 | — |
PSS010322 | — | — | 2,323 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
PSS011502 | — | — | 3,495 individuals | — | European | — | AllofUs | — |
PSS008582 | — | — | 1,147 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS010849 | — | — | 3,977 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
PSS009480 | — | — | 19,359 individuals | — | European | UK (+ Ireland) | 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 | — |
PSS010345 | — | — | 2,321 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | 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 | — |
PSS008338 | — | — | 6,060 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS010742 | — | — | 3,668 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
PSS010490 | — | — | 6,008 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | 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 | — |
PSS011110 | — | — | 2,810 individuals | — | European (non-white British ancestry) |
— | UKB | — |
PSS008360 | — | — | 6,055 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS011112 | — | — | 1,428 individuals | — | South Asian | — | 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 | — |
PSS009006 | — | — | 3,697 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008115 | — | — | 1,761 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010765 | — | — | 3,652 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
PSS010513 | — | — | 6,003 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
PSS010261 | — | — | 2,256 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
PSS011139 | — | — | 65,814 individuals | — | European (white British ancestry) |
— | UKB | — |