| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0005192 |
| Description | measure of the variation of red blood cell (RBC) volume | Trait category |
Hematological measurement
|
| Synonym | RDW |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000188 (rdw) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Red cell distribution width | red blood cell distribution width | 546 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000188/ScoringFiles/PGS000188.txt.gz |
| PGS001152 (GBE_INI30070) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Red blood cell distribution width | red blood cell distribution width | 10,179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001152/ScoringFiles/PGS001152.txt.gz |
| PGS001908 (portability-PLR_erythrocyte_width) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Red blood cell (erythrocyte) distribution width | red blood cell distribution width | 32,431 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001908/ScoringFiles/PGS001908.txt.gz |
| PGS002122 (portability-ldpred2_erythrocyte_width) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Red blood cell (erythrocyte) distribution width | red blood cell distribution width | 543,714 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002122/ScoringFiles/PGS002122.txt.gz |
| PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002346/ScoringFiles/PGS002346.txt.gz |
| PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 16,996 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002418/ScoringFiles/PGS002418.txt.gz |
| PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 36,619 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002467/ScoringFiles/PGS002467.txt.gz |
| PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 136,154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002516/ScoringFiles/PGS002516.txt.gz |
| PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 7,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002565/ScoringFiles/PGS002565.txt.gz |
| PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 5,543 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002614/ScoringFiles/PGS002614.txt.gz |
| PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 340,172 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002663/ScoringFiles/PGS002663.txt.gz |
| PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red Blood Cell Distribution Width | red blood cell distribution width | 976,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002712/ScoringFiles/PGS002712.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000559 | PGS000188 (rdw) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Red cell distribution width | — | — | R²: 0.07409 | sex, age, 10 genetic PCs | — |
| PPM000542 | PGS000188 (rdw) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Red cell distribution width | — | — | R²: 0.09519 | sex, age, 10 genetic PCs | — |
| PPM008482 | PGS001152 (GBE_INI30070) |
PSS006941| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.02633 [0.01865, 0.03401] Incremental R2 (full-covars): 0.00466 PGS R2 (no covariates): 0.00617 [0.00238, 0.00997] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008483 | PGS001152 (GBE_INI30070) |
PSS006942| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.06947 [0.04623, 0.09271] Incremental R2 (full-covars): 0.04028 PGS R2 (no covariates): 0.04714 [0.02754, 0.06675] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008484 | PGS001152 (GBE_INI30070) |
PSS006943| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.08241 [0.07587, 0.08895] Incremental R2 (full-covars): 0.07409 PGS R2 (no covariates): 0.0754 [0.06909, 0.0817] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008485 | PGS001152 (GBE_INI30070) |
PSS006944| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.06357 [0.05312, 0.07403] Incremental R2 (full-covars): 0.04077 PGS R2 (no covariates): 0.04137 [0.03274, 0.05] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008486 | PGS001152 (GBE_INI30070) |
PSS006945| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.0852 [0.08117, 0.08923] Incremental R2 (full-covars): 0.07926 PGS R2 (no covariates): 0.07945 [0.07553, 0.08337] |
age, sex, UKB array type, Genotype PCs | — |
| PPM010147 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS009400| European Ancestry| 19,392 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3342 [0.3217, 0.3467] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010148 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS009174| European Ancestry| 3,996 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3297 [0.3017, 0.3571] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010149 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008728| European Ancestry| 6,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2987 [0.2762, 0.3208] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010150 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008502| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2615 [0.2062, 0.3152] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010151 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008280| South Asian Ancestry| 6,035 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2435 [0.2196, 0.2671] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010152 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008057| East Asian Ancestry| 1,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2371 [0.1922, 0.281] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010154 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008948| African Ancestry| 3,680 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1241 [0.092, 0.1558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010153 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS007844| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1157 [0.0753, 0.1558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011832 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS009174| European Ancestry| 3,996 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3227 [0.2946, 0.3503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011831 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS009400| European Ancestry| 19,392 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3341 [0.3215, 0.3465] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011833 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008728| European Ancestry| 6,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2938 [0.2713, 0.3161] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011834 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008502| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2528 [0.1972, 0.3067] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011835 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008280| South Asian Ancestry| 6,035 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2424 [0.2185, 0.266] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011836 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008057| East Asian Ancestry| 1,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2289 [0.1838, 0.273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011837 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS007844| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.0986 [0.058, 0.1388] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011838 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008948| African Ancestry| 3,680 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1434 [0.1115, 0.175] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM013111 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0257 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013160 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0933 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013209 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.1557 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013258 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0998 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013399 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013448 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0576 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013497 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0994 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013546 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0649 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013595 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013644 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0099 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013693 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0856 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013742 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0084 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013791 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013840 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013889 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0643 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013938 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0048 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013987 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014036 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0554 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014085 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0938 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014134 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0644 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014183 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0136 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014232 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0506 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014281 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0887 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014330 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0604 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014379 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0343 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014428 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1048 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014477 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1682 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014526 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1097 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014575 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0314 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014624 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0864 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014673 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.1461 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014722 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0986 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009174 | — | — | 3,996 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008280 | — | — | 6,035 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS000290 | — | — | 2,314 individuals | — | European (French Canadian) |
— | CARTaGENE | — |
| PSS000291 | — | — | 39,260 individuals | — | European | — | INTERVAL | — |
| PSS008948 | — | — | 3,680 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008057 | — | — | 1,757 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008728 | — | — | 6,422 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009827 | — | — | 5,990 individuals | — | African unspecified | — | UKB | — |
| PSS009828 | — | — | 888 individuals | — | East Asian | — | UKB | — |
| PSS009829 | — | — | 41,837 individuals | — | European | Non-British European | UKB | — |
| PSS009830 | — | — | 7,623 individuals | — | South Asian | — | UKB | — |
| PSS007844 | — | — | 2,328 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS006941 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006942 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006943 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006944 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006945 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008502 | — | — | 1,144 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009400 | — | — | 19,392 individuals | — | European | UK (+ Ireland) | UKB | — |