Experimental Factor Ontology (EFO) Information | |
Identifier | EFO_0004526 |
Description | A mean corpuscular volume is the result of calculation of the mean volume of erythrocytes in a blood sample. | Trait category |
Hematological measurement
|
Synonyms |
2 synonyms
|
Mapped term | MedDRA:10027008 |
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS000101 (mcv) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Mean corpuscular volume | mean corpuscular volume | 25,001 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000101/ScoringFiles/PGS000101.txt.gz | |
PGS000176 (mcv) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Mean corpuscular volume | mean corpuscular volume | 685 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000176/ScoringFiles/PGS000176.txt.gz |
PGS000181 (mscv) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Mean sphered corpuscular volume | mean corpuscular volume | 761 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000181/ScoringFiles/PGS000181.txt.gz |
PGS001220 (GBE_INI30040) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean corpuscular volume | mean corpuscular volume | 17,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001220/ScoringFiles/PGS001220.txt.gz |
PGS001990 (portability-PLR_MCV) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Mean corpuscular volume | mean corpuscular volume | 47,916 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001990/ScoringFiles/PGS001990.txt.gz |
PGS002207 (portability-ldpred2_MCV) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Mean corpuscular volume | mean corpuscular volume | 564,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002207/ScoringFiles/PGS002207.txt.gz |
PGS003561 (cont-decay-MCV) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean corpuscular volume | mean corpuscular volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003561/ScoringFiles/PGS003561.txt.gz |
PGS003570 (cont-decay-sphered_cell_volume) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean sphered cell volume | mean corpuscular volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003570/ScoringFiles/PGS003570.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 |
---|---|---|---|---|---|---|---|---|---|
PPM000234 | PGS000101 (mcv) |
PSS000166| European Ancestry| 81,431 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Mean corpuscular volume | — | — | Pearson correlation coefficent (r): 0.5624 | 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) |
PPM000235 | PGS000101 (mcv) |
PSS000140| European Ancestry| 40,080 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Mean corpuscular volume | — | — | Pearson correlation coefficent (r): 0.47754 | 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) | — |
PPM000553 | PGS000176 (mcv) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.1665 | sex, age, 10 genetic PCs | — |
PPM000532 | PGS000176 (mcv) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.15931 | sex, age, 10 genetic PCs | — |
PPM001774 | PGS000176 (mcv) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: Mean corpuscular volume | — | — | Pearson correlation coefficent (r): 0.23 | — | — |
PPM008634 | PGS001220 (GBE_INI30040) |
PSS006926| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.03909 [0.02986, 0.04833] Incremental R2 (full-covars): 0.01317 PGS R2 (no covariates): 0.01523 [0.00932, 0.02114] |
age, sex, UKB array type, Genotype PCs | — |
PPM008635 | PGS001220 (GBE_INI30040) |
PSS006927| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.09134 [0.06532, 0.11737] Incremental R2 (full-covars): 0.03736 PGS R2 (no covariates): 0.05987 [0.03807, 0.08167] |
age, sex, UKB array type, Genotype PCs | — |
PPM008636 | PGS001220 (GBE_INI30040) |
PSS006928| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.20688 [0.19792, 0.21584] Incremental R2 (full-covars): 0.15861 PGS R2 (no covariates): 0.17414 [0.16558, 0.1827] |
age, sex, UKB array type, Genotype PCs | — |
PPM008637 | PGS001220 (GBE_INI30040) |
PSS006929| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.12834 [0.11451, 0.14216] Incremental R2 (full-covars): 0.07837 PGS R2 (no covariates): 0.08395 [0.0722, 0.0957] |
age, sex, UKB array type, Genotype PCs | — |
PPM008638 | PGS001220 (GBE_INI30040) |
PSS006930| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | R²: 0.21614 [0.21064, 0.22164] Incremental R2 (full-covars): 0.19948 PGS R2 (no covariates): 0.20189 [0.19648, 0.2073] |
age, sex, UKB array type, Genotype PCs | — |
PPM010795 | PGS001990 (portability-PLR_MCV) |
PSS009378| European Ancestry| 19,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.4447 [0.4333, 0.4559] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010796 | PGS001990 (portability-PLR_MCV) |
PSS009152| European Ancestry| 4,002 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.3969 [0.3704, 0.4228] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010797 | PGS001990 (portability-PLR_MCV) |
PSS008706| European Ancestry| 6,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.3414 [0.3196, 0.3628] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010799 | PGS001990 (portability-PLR_MCV) |
PSS008258| South Asian Ancestry| 6,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2987 [0.2756, 0.3214] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010800 | PGS001990 (portability-PLR_MCV) |
PSS008036| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2426 [0.1979, 0.2863] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010801 | PGS001990 (portability-PLR_MCV) |
PSS007822| African Ancestry| 2,342 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2067 [0.1674, 0.2453] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010802 | PGS001990 (portability-PLR_MCV) |
PSS008926| African Ancestry| 3,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.1227 [0.0908, 0.1543] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010798 | PGS001990 (portability-PLR_MCV) |
PSS008480| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2898 [0.2355, 0.3422] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012503 | PGS002207 (portability-ldpred2_MCV) |
PSS009378| European Ancestry| 19,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.4393 [0.4279, 0.4506] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012504 | PGS002207 (portability-ldpred2_MCV) |
PSS009152| European Ancestry| 4,002 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.3883 [0.3616, 0.4144] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012506 | PGS002207 (portability-ldpred2_MCV) |
PSS008480| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2809 [0.2264, 0.3337] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012507 | PGS002207 (portability-ldpred2_MCV) |
PSS008258| South Asian Ancestry| 6,078 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2928 [0.2696, 0.3156] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012508 | PGS002207 (portability-ldpred2_MCV) |
PSS008036| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2554 [0.211, 0.2988] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012509 | PGS002207 (portability-ldpred2_MCV) |
PSS007822| African Ancestry| 2,342 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.2029 [0.1636, 0.2416] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012505 | PGS002207 (portability-ldpred2_MCV) |
PSS008706| European Ancestry| 6,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.3311 [0.3091, 0.3527] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012510 | PGS002207 (portability-ldpred2_MCV) |
PSS008926| African Ancestry| 3,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Mean corpuscular volume | — | — | Partial Correlation (partial-r): 0.139 [0.1072, 0.1705] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM017573 | PGS003561 (cont-decay-MCV) |
PSS010844| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
PPM017657 | PGS003561 (cont-decay-MCV) |
PSS010676| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
PPM017741 | PGS003561 (cont-decay-MCV) |
PSS010592| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
PPM017825 | PGS003561 (cont-decay-MCV) |
PSS010256| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
PPM017909 | PGS003561 (cont-decay-MCV) |
PSS010508| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
PPM017993 | PGS003561 (cont-decay-MCV) |
PSS010424| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
PPM018077 | PGS003561 (cont-decay-MCV) |
PSS010340| African Ancestry| 2,329 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
PPM018161 | PGS003561 (cont-decay-MCV) |
PSS010760| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
PPM017489 | PGS003561 (cont-decay-MCV) |
PSS010928| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
PPM017498 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010938| European Ancestry| 19,109 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
PPM017582 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010854| European Ancestry| 3,913 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
PPM017750 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010602| Greater Middle Eastern Ancestry| 1,096 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
PPM017834 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010266| European Ancestry| 2,220 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
PPM017918 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010518| South Asian Ancestry| 5,885 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
PPM018002 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010434| East Asian Ancestry| 1,711 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
PPM018086 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010350| African Ancestry| 2,280 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
PPM017666 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010686| European Ancestry| 6,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
PPM018170 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010770| African Ancestry| 3,573 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010928 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
PSS010676 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
PSS008926 | — | — | 3,711 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS010424 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
PSS010938 | — | — | 19,109 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
PSS008036 | — | — | 1,762 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS010686 | — | — | 6,139 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
PSS010434 | — | — | 1,711 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
PSS000290 | — | — | 2,314 individuals | — | European (French Canadian) |
— | CARTaGENE | — |
PSS000291 | — | — | 39,260 individuals | — | European | — | INTERVAL | — |
PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
PSS008706 | — | — | 6,437 individuals | — | European | Italy (South Europe) | UKB | — |
PSS010844 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
PSS010592 | — | — | 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 | — |
PSS010340 | — | — | 2,329 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
PSS000140 | — | — | 40,080 individuals, 50.0 % Male samples |
Mean = 43.82 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
PSS010854 | — | — | 3,913 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
PSS007822 | — | — | 2,342 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS010602 | — | — | 1,096 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
PSS010350 | — | — | 2,280 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
PSS006926 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
PSS006927 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
PSS006928 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
PSS006929 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
PSS006930 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS008480 | — | — | 1,153 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009378 | — | — | 19,423 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS000166 | — | — | 81,431 individuals, 46.0 % Male samples |
Mean = 57.26 years Range = [40.15, 71.1] years |
European | — | UKB | — |
PSS010760 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
PSS010508 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
PSS010266 | — | — | 2,220 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
PSS010256 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
PSS010770 | — | — | 3,573 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
PSS010518 | — | — | 5,885 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
PSS009152 | — | — | 4,002 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008258 | — | — | 6,078 individuals | — | South Asian | India (South Asia) | UKB | — |