Trait: reticulocyte measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0010700
Description A quantification of some aspect of reticulocyte function, quantity, or composition.
Trait category
Hematological measurement
Child trait(s) 2 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "reticulocyte measurement" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000094
(hlr)
PGP000051 |
Xu Y et al. Cell Genom (2022)
High light scatter reticulocyte count reticulocyte count 25,493
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000094/ScoringFiles/PGS000094.txt.gz
PGS000095
(hlr_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
High light scatter reticulocyte percentage of red cells reticulocyte count 21,957
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000095/ScoringFiles/PGS000095.txt.gz
PGS000096
(irf)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Immature fraction of reticulocytes reticulocyte count 17,850
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000096/ScoringFiles/PGS000096.txt.gz
PGS000111
(ret)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reticulocyte count reticulocyte count 26,077
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000111/ScoringFiles/PGS000111.txt.gz
PGS000112
(ret_p)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reticulocyte fraction of red cells reticulocyte count 25,939
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000112/ScoringFiles/PGS000112.txt.gz
PGS000169
(hlr)
PGP000078 |
Vuckovic D et al. Cell (2020)
High light scatter reticulocyte count reticulocyte count 570
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000169/ScoringFiles/PGS000169.txt.gz
PGS000170
(hlr_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
High light scatter reticulocyte percentage of red cells reticulocyte count 566
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000170/ScoringFiles/PGS000170.txt.gz
PGS000171
(irf)
PGP000078 |
Vuckovic D et al. Cell (2020)
Immature fraction of reticulocytes reticulocyte count 372
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000171/ScoringFiles/PGS000171.txt.gz
PGS000180
(mrv)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean reticulocyte volume mean reticulocyte volume 629
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000180/ScoringFiles/PGS000180.txt.gz
PGS000189
(ret)
PGP000078 |
Vuckovic D et al. Cell (2020)
Reticulocyte count reticulocyte count 555
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000189/ScoringFiles/PGS000189.txt.gz
PGS000190
(ret_p)
PGP000078 |
Vuckovic D et al. Cell (2020)
Reticulocyte fraction of red cells reticulocyte count 537
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000190/ScoringFiles/PGS000190.txt.gz
PGS000987
(GBE_INI30260)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Mean reticulocyte volume mean reticulocyte volume 13,277
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000987/ScoringFiles/PGS000987.txt.gz
PGS000988
(GBE_INI30290)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
High light scatter reticulocyte percentage reticulocyte measurement 7,184
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000988/ScoringFiles/PGS000988.txt.gz
PGS000989
(GBE_INI30240)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reticulocyte percentage reticulocyte measurement 6,251
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000989/ScoringFiles/PGS000989.txt.gz
PGS001406
(GBE_INI30300)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
High light scatter reticulocyte count reticulocyte measurement 15,856
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001406/ScoringFiles/PGS001406.txt.gz
PGS001528
(GBE_INI30250)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reticulocyte count reticulocyte count 6,262
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001528/ScoringFiles/PGS001528.txt.gz
PGS001959
(portability-PLR_log_HLR_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
High light scatter reticulocyte count reticulocyte measurement 78,803
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001959/ScoringFiles/PGS001959.txt.gz
PGS001976
(portability-PLR_log_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reticulocyte count reticulocyte count 75,033
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001976/ScoringFiles/PGS001976.txt.gz
PGS002003
(portability-PLR_reticulocyte_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean reticulocyte volume mean reticulocyte volume 24,536
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002003/ScoringFiles/PGS002003.txt.gz
PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
High light scatter reticulocyte count reticulocyte measurement 780,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002177/ScoringFiles/PGS002177.txt.gz
PGS002194
(portability-ldpred2_log_reticulocyte)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reticulocyte count reticulocyte count 773,305
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002194/ScoringFiles/PGS002194.txt.gz
PGS002221
(portability-ldpred2_reticulocyte_volume)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Mean reticulocyte volume mean reticulocyte volume 523,074
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002221/ScoringFiles/PGS002221.txt.gz
PGS002333
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002333/ScoringFiles/PGS002333.txt.gz
PGS002405
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 16,031
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002405/ScoringFiles/PGS002405.txt.gz
PGS002454
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 37,335
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002454/ScoringFiles/PGS002454.txt.gz
PGS002503
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 143,701
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002503/ScoringFiles/PGS002503.txt.gz
PGS002552
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 6,655
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002552/ScoringFiles/PGS002552.txt.gz
PGS002601
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 4,569
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002601/ScoringFiles/PGS002601.txt.gz
PGS002650
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 406,785
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002650/ScoringFiles/PGS002650.txt.gz
PGS002699
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
High light scatter reticulocyte count reticulocyte count 983,680
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002699/ScoringFiles/PGS002699.txt.gz
PGS003515
(cont-decay-immature_reticulocyte_frac)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Immature reticulocyte fraction reticulocyte measurement 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003515/ScoringFiles/PGS003515.txt.gz
PGS003551
(cont-decay-log_reticulocyte)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reticulocyte count reticulocyte count 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003551/ScoringFiles/PGS003551.txt.gz
PGS003567
(cont-decay-reticulocyte_volume)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Mean reticulocyte volume mean reticulocyte volume 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003567/ScoringFiles/PGS003567.txt.gz
PGS003946
(INI30240)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reticulocyte percentage reticulocyte measurement 7,884
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003946/ScoringFiles/PGS003946.txt.gz
PGS003947
(INI30250)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reticulocyte count reticulocyte count 9,558
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003947/ScoringFiles/PGS003947.txt.gz
PGS003948
(INI30260)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Mean reticulocyte volume mean reticulocyte volume 18,832
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003948/ScoringFiles/PGS003948.txt.gz
PGS003951
(INI30290)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
High light scatter reticulocyte percentage reticulocyte measurement 11,641
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003951/ScoringFiles/PGS003951.txt.gz
PGS003952
(INI30300)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
High light scatter reticulocyte count reticulocyte count 19,565
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003952/ScoringFiles/PGS003952.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM000220 PGS000094
(hlr)
PSS000159|
European Ancestry|
80,067 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.4559 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)
PPM000221 PGS000094
(hlr)
PSS000133|
European Ancestry|
40,244 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte count Pearson correlation coefficent (r): 0.40097 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)
PPM000222 PGS000095
(hlr_p)
PSS000160|
European Ancestry|
80,088 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.46291 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)
PPM000223 PGS000095
(hlr_p)
PSS000134|
European Ancestry|
40,225 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: High light scatter reticulocyte percentage of red cells Pearson correlation coefficent (r): 0.40544 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)
PPM000224 PGS000096
(irf)
PSS000161|
European Ancestry|
79,282 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.35972 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)
PPM000225 PGS000096
(irf)
PSS000135|
European Ancestry|
40,227 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Immature fraction of reticulocytes Pearson correlation coefficent (r): 0.36441 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)
PPM000254 PGS000111
(ret)
PSS000176|
European Ancestry|
79,344 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.45071 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)
PPM000255 PGS000111
(ret)
PSS000150|
European Ancestry|
40,253 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte count Pearson correlation coefficent (r): 0.44742 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)
PPM000256 PGS000112
(ret_p)
PSS000177|
European Ancestry|
79,362 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.45239 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)
PPM000257 PGS000112
(ret_p)
PSS000151|
European Ancestry|
40,286 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Reticulocyte fraction of red cells Pearson correlation coefficent (r): 0.45318 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)
PPM000525 PGS000169
(hlr)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: High light scatter reticulocyte count : 0.11896 sex, age, 10 genetic PCs
PPM000526 PGS000170
(hlr_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: High light scatter reticulocyte percentage of red cells : 0.12799 sex, age, 10 genetic PCs
PPM000527 PGS000171
(irf)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Immature fraction of reticulocytes : 0.09164 sex, age, 10 genetic PCs
PPM000543 PGS000189
(ret)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Reticulocyte count : 0.14142 sex, age, 10 genetic PCs
PPM000544 PGS000190
(ret_p)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Reticulocyte fraction of red cells : 0.15022 sex, age, 10 genetic PCs
PPM007703 PGS000987
(GBE_INI30260)
PSS007026|
African Ancestry|
5,973 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean reticulocyte volume : 0.03718 [0.02815, 0.0462]
Incremental R2 (full-covars): 0.02777
PGS R2 (no covariates): 0.02867 [0.02068, 0.03667]
age, sex, UKB array type, Genotype PCs
PPM007704 PGS000987
(GBE_INI30260)
PSS007027|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean reticulocyte volume : 0.08812 [0.06247, 0.11377]
Incremental R2 (full-covars): 0.07173
PGS R2 (no covariates): 0.07447 [0.05053, 0.0984]
age, sex, UKB array type, Genotype PCs
PPM007705 PGS000987
(GBE_INI30260)
PSS007028|
European Ancestry|
23,687 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean reticulocyte volume : 0.1616 [0.15323, 0.16997]
Incremental R2 (full-covars): 0.14435
PGS R2 (no covariates): 0.1455 [0.1374, 0.15359]
age, sex, UKB array type, Genotype PCs
PPM007706 PGS000987
(GBE_INI30260)
PSS007029|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean reticulocyte volume : 0.13294 [0.11894, 0.14694]
Incremental R2 (full-covars): 0.09343
PGS R2 (no covariates): 0.09786 [0.08537, 0.11036]
age, sex, UKB array type, Genotype PCs
PPM007707 PGS000987
(GBE_INI30260)
PSS007030|
European Ancestry|
64,570 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean reticulocyte volume : 0.15675 [0.15171, 0.16179]
Incremental R2 (full-covars): 0.14554
PGS R2 (no covariates): 0.14631 [0.14138, 0.15124]
age, sex, UKB array type, Genotype PCs
PPM007708 PGS000988
(GBE_INI30290)
PSS007036|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte % : 0.02767 [0.0198, 0.03553]
Incremental R2 (full-covars): 0.01965
PGS R2 (no covariates): 0.01997 [0.01324, 0.0267]
age, sex, UKB array type, Genotype PCs
PPM007709 PGS000988
(GBE_INI30290)
PSS007037|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte % : 0.05671 [0.03542, 0.07799]
Incremental R2 (full-covars): 0.04573
PGS R2 (no covariates): 0.04876 [0.02885, 0.06866]
age, sex, UKB array type, Genotype PCs
PPM007710 PGS000988
(GBE_INI30290)
PSS007038|
European Ancestry|
23,681 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte % : 0.08594 [0.07929, 0.0926]
Incremental R2 (full-covars): 0.07798
PGS R2 (no covariates): 0.07863 [0.07222, 0.08505]
age, sex, UKB array type, Genotype PCs
PPM007711 PGS000988
(GBE_INI30290)
PSS007039|
South Asian Ancestry|
7,321 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte % : 0.07357 [0.06245, 0.0847]
Incremental R2 (full-covars): 0.06049
PGS R2 (no covariates): 0.06609 [0.05546, 0.07672]
age, sex, UKB array type, Genotype PCs
PPM007712 PGS000988
(GBE_INI30290)
PSS007040|
European Ancestry|
64,524 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte % : 0.01671 [0.0148, 0.01863]
Incremental R2 (full-covars): 0.01605
PGS R2 (no covariates): 0.016 [0.01412, 0.01788]
age, sex, UKB array type, Genotype PCs
PPM007715 PGS000989
(GBE_INI30240)
PSS007018|
European Ancestry|
23,688 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte % : 0.0318 [0.02751, 0.03609]
Incremental R2 (full-covars): 0.02883
PGS R2 (no covariates): 0.02905 [0.02494, 0.03316]
age, sex, UKB array type, Genotype PCs
PPM007713 PGS000989
(GBE_INI30240)
PSS007016|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte % : 0.01993 [0.01321, 0.02666]
Incremental R2 (full-covars): 0.01309
PGS R2 (no covariates): 0.01384 [0.0082, 0.01948]
age, sex, UKB array type, Genotype PCs
PPM007714 PGS000989
(GBE_INI30240)
PSS007017|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte % : 0.05032 [0.03013, 0.0705]
Incremental R2 (full-covars): 0.03871
PGS R2 (no covariates): 0.03842 [0.02056, 0.05628]
age, sex, UKB array type, Genotype PCs
PPM007716 PGS000989
(GBE_INI30240)
PSS007019|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte % : 0.03312 [0.02533, 0.04091]
Incremental R2 (full-covars): 0.02678
PGS R2 (no covariates): 0.02784 [0.02066, 0.03502]
age, sex, UKB array type, Genotype PCs
PPM007717 PGS000989
(GBE_INI30240)
PSS007020|
European Ancestry|
64,569 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte % : 0.02928 [0.02677, 0.03179]
Incremental R2 (full-covars): 0.02823
PGS R2 (no covariates): 0.02826 [0.0258, 0.03073]
age, sex, UKB array type, Genotype PCs
PPM007070 PGS001406
(GBE_INI30300)
PSS007041|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte count : 0.03376 [0.02514, 0.04239]
Incremental R2 (full-covars): 0.02097
PGS R2 (no covariates): 0.02166 [0.01466, 0.02866]
age, sex, UKB array type, Genotype PCs
PPM007071 PGS001406
(GBE_INI30300)
PSS007042|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte count : 0.08784 [0.06222, 0.11346]
Incremental R2 (full-covars): 0.06019
PGS R2 (no covariates): 0.06306 [0.04077, 0.08536]
age, sex, UKB array type, Genotype PCs
PPM007072 PGS001406
(GBE_INI30300)
PSS007043|
European Ancestry|
23,681 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte count : 0.116 [0.10853, 0.12348]
Incremental R2 (full-covars): 0.09413
PGS R2 (no covariates): 0.09553 [0.08859, 0.10247]
age, sex, UKB array type, Genotype PCs
PPM007073 PGS001406
(GBE_INI30300)
PSS007044|
South Asian Ancestry|
7,321 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte count : 0.09799 [0.08549, 0.1105]
Incremental R2 (full-covars): 0.07113
PGS R2 (no covariates): 0.07659 [0.06528, 0.08791]
age, sex, UKB array type, Genotype PCs
PPM007074 PGS001406
(GBE_INI30300)
PSS007045|
European Ancestry|
64,524 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: High light scatter reticulocyte count : 0.12733 [0.12263, 0.13203]
Incremental R2 (full-covars): 0.11178
PGS R2 (no covariates): 0.1113 [0.10683, 0.11578]
age, sex, UKB array type, Genotype PCs
PPM007061 PGS001528
(GBE_INI30250)
PSS007022|
East Asian Ancestry|
1,623 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte count : 0.07592 [0.05179, 0.10005]
Incremental R2 (full-covars): 0.04581
PGS R2 (no covariates): 0.04535 [0.02608, 0.06461]
age, sex, UKB array type, Genotype PCs
PPM007062 PGS001528
(GBE_INI30250)
PSS007023|
European Ancestry|
23,688 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte count : 0.04398 [0.039, 0.04896]
Incremental R2 (full-covars): 0.0298
PGS R2 (no covariates): 0.03007 [0.02589, 0.03425]
age, sex, UKB array type, Genotype PCs
PPM007063 PGS001528
(GBE_INI30250)
PSS007024|
South Asian Ancestry|
7,323 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte count : 0.05148 [0.04195, 0.06101]
Incremental R2 (full-covars): 0.03077
PGS R2 (no covariates): 0.03212 [0.02444, 0.0398]
age, sex, UKB array type, Genotype PCs
PPM007060 PGS001528
(GBE_INI30250)
PSS007021|
African Ancestry|
5,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte count : 0.03089 [0.02261, 0.03917]
Incremental R2 (full-covars): 0.01205
PGS R2 (no covariates): 0.01388 [0.00823, 0.01953]
age, sex, UKB array type, Genotype PCs
PPM007064 PGS001528
(GBE_INI30250)
PSS007025|
European Ancestry|
64,570 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Reticulocyte count : 0.0518 [0.04854, 0.05506]
Incremental R2 (full-covars): 0.03968
PGS R2 (no covariates): 0.03966 [0.03677, 0.04254]
age, sex, UKB array type, Genotype PCs
PPM010548 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS009207|
European Ancestry|
3,919 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.4054 [0.3788, 0.4313] sex, age, birth date, deprivation index, 16 PCs
PPM010549 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008761|
European Ancestry|
6,289 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3962 [0.3751, 0.4169] sex, age, birth date, deprivation index, 16 PCs
PPM010550 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008535|
Greater Middle Eastern Ancestry|
1,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3255 [0.2717, 0.3772] sex, age, birth date, deprivation index, 16 PCs
PPM010551 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008313|
South Asian Ancestry|
5,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3191 [0.296, 0.3418] sex, age, birth date, deprivation index, 16 PCs
PPM010552 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008090|
East Asian Ancestry|
1,715 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2778 [0.2333, 0.3212] sex, age, birth date, deprivation index, 16 PCs
PPM010553 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS007877|
African Ancestry|
2,293 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2182 [0.1787, 0.257] sex, age, birth date, deprivation index, 16 PCs
PPM010554 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS008981|
African Ancestry|
3,600 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2136 [0.1822, 0.2447] sex, age, birth date, deprivation index, 16 PCs
PPM010547 PGS001959
(portability-PLR_log_HLR_reticulocyte)
PSS009433|
European Ancestry|
19,088 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.4069 [0.395, 0.4186] sex, age, birth date, deprivation index, 16 PCs
PPM010683 PGS001976
(portability-PLR_log_reticulocyte)
PSS009465|
European Ancestry|
19,117 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3967 [0.3847, 0.4086] sex, age, birth date, deprivation index, 16 PCs
PPM010684 PGS001976
(portability-PLR_log_reticulocyte)
PSS009239|
European Ancestry|
3,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3757 [0.3485, 0.4024] sex, age, birth date, deprivation index, 16 PCs
PPM010685 PGS001976
(portability-PLR_log_reticulocyte)
PSS008793|
European Ancestry|
6,297 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3753 [0.3538, 0.3963] sex, age, birth date, deprivation index, 16 PCs
PPM010686 PGS001976
(portability-PLR_log_reticulocyte)
PSS008567|
Greater Middle Eastern Ancestry|
1,127 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3116 [0.2574, 0.3638] sex, age, birth date, deprivation index, 16 PCs
PPM010688 PGS001976
(portability-PLR_log_reticulocyte)
PSS008122|
East Asian Ancestry|
1,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.2708 [0.2261, 0.3142] sex, age, birth date, deprivation index, 16 PCs
PPM010690 PGS001976
(portability-PLR_log_reticulocyte)
PSS009013|
African Ancestry|
3,602 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.1736 [0.1416, 0.2052] sex, age, birth date, deprivation index, 16 PCs
PPM010687 PGS001976
(portability-PLR_log_reticulocyte)
PSS008345|
South Asian Ancestry|
5,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.2981 [0.2747, 0.3211] sex, age, birth date, deprivation index, 16 PCs
PPM010689 PGS001976
(portability-PLR_log_reticulocyte)
PSS007909|
African Ancestry|
2,294 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.1931 [0.1532, 0.2323] sex, age, birth date, deprivation index, 16 PCs
PPM010898 PGS002003
(portability-PLR_reticulocyte_volume)
PSS009487|
European Ancestry|
19,120 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3934 [0.3814, 0.4054] sex, age, birth date, deprivation index, 16 PCs
PPM010899 PGS002003
(portability-PLR_reticulocyte_volume)
PSS009261|
European Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3882 [0.3612, 0.4145] sex, age, birth date, deprivation index, 16 PCs
PPM010900 PGS002003
(portability-PLR_reticulocyte_volume)
PSS008815|
European Ancestry|
6,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3774 [0.356, 0.3984] sex, age, birth date, deprivation index, 16 PCs
PPM010901 PGS002003
(portability-PLR_reticulocyte_volume)
PSS008589|
Greater Middle Eastern Ancestry|
1,127 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3348 [0.2815, 0.3861] sex, age, birth date, deprivation index, 16 PCs
PPM010902 PGS002003
(portability-PLR_reticulocyte_volume)
PSS008367|
South Asian Ancestry|
5,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3217 [0.2986, 0.3443] sex, age, birth date, deprivation index, 16 PCs
PPM010903 PGS002003
(portability-PLR_reticulocyte_volume)
PSS008143|
East Asian Ancestry|
1,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.2638 [0.219, 0.3074] sex, age, birth date, deprivation index, 16 PCs
PPM010904 PGS002003
(portability-PLR_reticulocyte_volume)
PSS007931|
African Ancestry|
2,293 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.2125 [0.1729, 0.2514] sex, age, birth date, deprivation index, 16 PCs
PPM010905 PGS002003
(portability-PLR_reticulocyte_volume)
PSS009035|
African Ancestry|
3,602 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.1616 [0.1296, 0.1934] sex, age, birth date, deprivation index, 16 PCs
PPM012263 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS009433|
European Ancestry|
19,088 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3974 [0.3854, 0.4093] sex, age, birth date, deprivation index, 16 PCs
PPM012264 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS009207|
European Ancestry|
3,919 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3985 [0.3718, 0.4246] sex, age, birth date, deprivation index, 16 PCs
PPM012265 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS008761|
European Ancestry|
6,289 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3888 [0.3676, 0.4096] sex, age, birth date, deprivation index, 16 PCs
PPM012266 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS008535|
Greater Middle Eastern Ancestry|
1,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3261 [0.2723, 0.3778] sex, age, birth date, deprivation index, 16 PCs
PPM012267 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS008313|
South Asian Ancestry|
5,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.3041 [0.2808, 0.3271] sex, age, birth date, deprivation index, 16 PCs
PPM012268 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS008090|
East Asian Ancestry|
1,715 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2632 [0.2183, 0.307] sex, age, birth date, deprivation index, 16 PCs
PPM012269 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS007877|
African Ancestry|
2,293 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.2241 [0.1847, 0.2628] sex, age, birth date, deprivation index, 16 PCs
PPM012270 PGS002177
(portability-ldpred2_log_HLR_reticulocyte)
PSS008981|
African Ancestry|
3,600 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: High light scatter reticulocyte count Partial Correlation (partial-r): 0.1964 [0.1647, 0.2277] sex, age, birth date, deprivation index, 16 PCs
PPM012399 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS009465|
European Ancestry|
19,117 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.391 [0.3789, 0.403] sex, age, birth date, deprivation index, 16 PCs
PPM012400 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS009239|
European Ancestry|
3,923 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3672 [0.3398, 0.3941] sex, age, birth date, deprivation index, 16 PCs
PPM012401 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS008793|
European Ancestry|
6,297 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3718 [0.3503, 0.393] sex, age, birth date, deprivation index, 16 PCs
PPM012402 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS008567|
Greater Middle Eastern Ancestry|
1,127 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.3104 [0.2562, 0.3627] sex, age, birth date, deprivation index, 16 PCs
PPM012403 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS008345|
South Asian Ancestry|
5,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.2814 [0.2577, 0.3047] sex, age, birth date, deprivation index, 16 PCs
PPM012404 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS008122|
East Asian Ancestry|
1,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.2574 [0.2125, 0.3013] sex, age, birth date, deprivation index, 16 PCs
PPM012405 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS007909|
African Ancestry|
2,294 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.21 [0.1704, 0.249] sex, age, birth date, deprivation index, 16 PCs
PPM012406 PGS002194
(portability-ldpred2_log_reticulocyte)
PSS009013|
African Ancestry|
3,602 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Reticulocyte count Partial Correlation (partial-r): 0.1782 [0.1463, 0.2097] sex, age, birth date, deprivation index, 16 PCs
PPM012614 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS009487|
European Ancestry|
19,120 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3894 [0.3773, 0.4014] sex, age, birth date, deprivation index, 16 PCs
PPM012615 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS009261|
European Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3877 [0.3608, 0.4141] sex, age, birth date, deprivation index, 16 PCs
PPM012616 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS008815|
European Ancestry|
6,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3736 [0.3521, 0.3947] sex, age, birth date, deprivation index, 16 PCs
PPM012617 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS008589|
Greater Middle Eastern Ancestry|
1,127 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3308 [0.2773, 0.3823] sex, age, birth date, deprivation index, 16 PCs
PPM012618 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS008367|
South Asian Ancestry|
5,935 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.3152 [0.2921, 0.338] sex, age, birth date, deprivation index, 16 PCs
PPM012619 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS008143|
East Asian Ancestry|
1,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.2541 [0.2091, 0.298] sex, age, birth date, deprivation index, 16 PCs
PPM012620 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS007931|
African Ancestry|
2,293 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.2118 [0.1722, 0.2507] sex, age, birth date, deprivation index, 16 PCs
PPM012621 PGS002221
(portability-ldpred2_reticulocyte_volume)
PSS009035|
African Ancestry|
3,602 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Mean reticulocyte volume Partial Correlation (partial-r): 0.1834 [0.1516, 0.2149] sex, age, birth date, deprivation index, 16 PCs
PPM013147 PGS002333
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.BOLT-LMM)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0931 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013196 PGS002333
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.BOLT-LMM)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.1501 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013098 PGS002333
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.BOLT-LMM)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0378 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013245 PGS002333
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.BOLT-LMM)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0872 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013435 PGS002405
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.0001)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.055 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013484 PGS002405
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.0001)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0785 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013533 PGS002405
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.0001)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.05 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013386 PGS002405
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.0001)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0037 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013582 PGS002454
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.001)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013631 PGS002454
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.001)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0141 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013680 PGS002454
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.001)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0817 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013729 PGS002454
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.001)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0228 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013778 PGS002503
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.01)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0055 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013876 PGS002503
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.01)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0492 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013925 PGS002503
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.01)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0066 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013827 PGS002503
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.0.01)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0057 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013974 PGS002552
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.1e-06)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0149 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014072 PGS002552
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.1e-06)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0653 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014121 PGS002552
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.1e-06)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0442 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014023 PGS002552
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.1e-06)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0649 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014219 PGS002601
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.5e-08)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0643 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014268 PGS002601
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.5e-08)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0598 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014170 PGS002601
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.5e-08)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0141 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014317 PGS002601
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.P+T.5e-08)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0413 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014513 PGS002650
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.PolyFun-pred)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1032 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014366 PGS002650
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.PolyFun-pred)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0563 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014415 PGS002650
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.PolyFun-pred)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1068 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014464 PGS002650
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.PolyFun-pred)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1606 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014562 PGS002699
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.SBayesR)
PSS009775|
African Ancestry|
5,976 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0423 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014611 PGS002699
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.SBayesR)
PSS009776|
East Asian Ancestry|
881 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0835 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014660 PGS002699
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.SBayesR)
PSS009777|
European Ancestry|
41,231 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.1452 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014709 PGS002699
(blood_HIGH_LIGHT_SCATTER_RETICULOCYTE_COUNT.SBayesR)
PSS009778|
South Asian Ancestry|
7,560 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: High Light Scatter Reticulocyte Count Incremental R2 (full model vs. covariates alone): 0.0888 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM017443 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010877|
European Ancestry|
19,116 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017527 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010793|
European Ancestry|
3,913 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017611 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010625|
European Ancestry|
6,144 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017695 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010541|
Greater Middle Eastern Ancestry|
1,097 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017779 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010205|
European Ancestry|
2,221 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017863 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010457|
South Asian Ancestry|
5,888 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017947 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010373|
East Asian Ancestry|
1,711 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018031 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010289|
African Ancestry|
2,282 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018115 PGS003515
(cont-decay-immature_reticulocyte_frac)
PSS010709|
African Ancestry|
3,574 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Immature reticulocyte fraction partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017479 PGS003551
(cont-decay-log_reticulocyte)
PSS010917|
European Ancestry|
19,111 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017563 PGS003551
(cont-decay-log_reticulocyte)
PSS010833|
European Ancestry|
3,912 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.14 sex, age, deprivation index, PC1-16
PPM017647 PGS003551
(cont-decay-log_reticulocyte)
PSS010665|
European Ancestry|
6,143 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.14 sex, age, deprivation index, PC1-16
PPM017731 PGS003551
(cont-decay-log_reticulocyte)
PSS010581|
Greater Middle Eastern Ancestry|
1,097 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017815 PGS003551
(cont-decay-log_reticulocyte)
PSS010245|
European Ancestry|
2,221 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017899 PGS003551
(cont-decay-log_reticulocyte)
PSS010497|
South Asian Ancestry|
5,886 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017983 PGS003551
(cont-decay-log_reticulocyte)
PSS010413|
East Asian Ancestry|
1,711 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM018067 PGS003551
(cont-decay-log_reticulocyte)
PSS010329|
African Ancestry|
2,282 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018151 PGS003551
(cont-decay-log_reticulocyte)
PSS010749|
African Ancestry|
3,574 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Reticulocyte count partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM017495 PGS003567
(cont-decay-reticulocyte_volume)
PSS010934|
European Ancestry|
19,112 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017579 PGS003567
(cont-decay-reticulocyte_volume)
PSS010850|
European Ancestry|
3,913 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.15 sex, age, deprivation index, PC1-16
PPM017663 PGS003567
(cont-decay-reticulocyte_volume)
PSS010682|
European Ancestry|
6,144 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017747 PGS003567
(cont-decay-reticulocyte_volume)
PSS010598|
Greater Middle Eastern Ancestry|
1,097 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017831 PGS003567
(cont-decay-reticulocyte_volume)
PSS010262|
European Ancestry|
2,221 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.16 sex, age, deprivation index, PC1-16
PPM017915 PGS003567
(cont-decay-reticulocyte_volume)
PSS010514|
South Asian Ancestry|
5,886 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017999 PGS003567
(cont-decay-reticulocyte_volume)
PSS010430|
East Asian Ancestry|
1,711 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM018083 PGS003567
(cont-decay-reticulocyte_volume)
PSS010346|
African Ancestry|
2,281 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM018167 PGS003567
(cont-decay-reticulocyte_volume)
PSS010766|
African Ancestry|
3,574 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Mean reticulocyte volume partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM019049 PGS003946
(INI30240)
PSS011141|
European Ancestry|
64,860 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte percentage : 0.0298 [0.02728, 0.03233]
PGS R2 (no covariates): 0.02838 [0.02592, 0.03085]
Incremental R2 (full-covars): 0.02829
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019050 PGS003946
(INI30240)
PSS011099|
European Ancestry|
2,770 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte percentage : 0.07465 [0.05625, 0.09305]
PGS R2 (no covariates): 0.06854 [0.05079, 0.08629]
Incremental R2 (full-covars): 0.06923
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019051 PGS003946
(INI30240)
PSS011111|
South Asian Ancestry|
1,393 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte percentage : 0.08898 [0.06142, 0.11654]
PGS R2 (no covariates): 0.08201 [0.05535, 0.10867]
Incremental R2 (full-covars): 0.07867
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019052 PGS003946
(INI30240)
PSS011153|
African Ancestry|
1,125 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte percentage : 0.01247 [0.00009, 0.02484]
PGS R2 (no covariates): 0.01579 [0.00191, 0.02967]
Incremental R2 (full-covars): 0.012
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019053 PGS003946
(INI30240)
PSS011169|
Multi-ancestry (excluding European)|
7,578 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte percentage : 0.04153 [0.03298, 0.05009]
PGS R2 (no covariates): 0.03618 [0.02815, 0.04421]
Incremental R2 (full-covars): 0.03446
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019054 PGS003947
(INI30250)
PSS011140|
European Ancestry|
64,861 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte count : 0.0537 [0.0504, 0.057]
PGS R2 (no covariates): 0.04073 [0.03782, 0.04365]
Incremental R2 (full-covars): 0.04072
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019056 PGS003947
(INI30250)
PSS011111|
South Asian Ancestry|
1,393 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte count : 0.09735 [0.06879, 0.12592]
PGS R2 (no covariates): 0.07127 [0.04612, 0.09641]
Incremental R2 (full-covars): 0.06906
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019057 PGS003947
(INI30250)
PSS011153|
African Ancestry|
1,125 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte count : 0.02713 [0.00914, 0.04511]
PGS R2 (no covariates): 0.01461 [0.00124, 0.02797]
Incremental R2 (full-covars): 0.01527
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019058 PGS003947
(INI30250)
PSS011169|
Multi-ancestry (excluding European)|
7,578 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte count : 0.05468 [0.045, 0.06436]
PGS R2 (no covariates): 0.03553 [0.02757, 0.04349]
Incremental R2 (full-covars): 0.03303
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019055 PGS003947
(INI30250)
PSS011099|
European Ancestry|
2,770 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Reticulocyte count : 0.10144 [0.08061, 0.12226]
PGS R2 (no covariates): 0.07084 [0.05284, 0.08884]
Incremental R2 (full-covars): 0.07225
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019059 PGS003948
(INI30260)
PSS011140|
European Ancestry|
64,861 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Mean reticulocyte volume : 0.16087 [0.1558, 0.16594]
PGS R2 (no covariates): 0.14603 [0.14111, 0.15095]
Incremental R2 (full-covars): 0.14515
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019060 PGS003948
(INI30260)
PSS011099|
European Ancestry|
2,770 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Mean reticulocyte volume : 0.17217 [0.14717, 0.19717]
PGS R2 (no covariates): 0.14414 [0.1205, 0.16779]
Incremental R2 (full-covars): 0.14281
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019061 PGS003948
(INI30260)
PSS011111|
South Asian Ancestry|
1,393 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Mean reticulocyte volume : 0.13781 [0.10535, 0.17027]
PGS R2 (no covariates): 0.11019 [0.08024, 0.14015]
Incremental R2 (full-covars): 0.10391
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019062 PGS003948
(INI30260)
PSS011152|
African Ancestry|
1,124 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Mean reticulocyte volume : 0.03874 [0.01751, 0.05997]
PGS R2 (no covariates): 0.03349 [0.01364, 0.05333]
Incremental R2 (full-covars): 0.033
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019063 PGS003948
(INI30260)
PSS011169|
Multi-ancestry (excluding European)|
7,578 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Mean reticulocyte volume : 0.15509 [0.14052, 0.16966]
PGS R2 (no covariates): 0.13046 [0.11671, 0.14422]
Incremental R2 (full-covars): 0.11887
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019075 PGS003951
(INI30290)
PSS011100|
European Ancestry|
2,768 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte percentage : 0.10452 [0.08345, 0.12558]
PGS R2 (no covariates): 0.09885 [0.07823, 0.11947]
Incremental R2 (full-covars): 0.09847
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019076 PGS003951
(INI30290)
PSS011111|
South Asian Ancestry|
1,393 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte percentage : 0.09744 [0.06887, 0.12601]
PGS R2 (no covariates): 0.08757 [0.06019, 0.11496]
Incremental R2 (full-covars): 0.08129
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019077 PGS003951
(INI30290)
PSS011153|
African Ancestry|
1,125 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte percentage : 0.02997 [0.01112, 0.04881]
PGS R2 (no covariates): 0.03101 [0.01186, 0.05016]
Incremental R2 (full-covars): 0.0295
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019078 PGS003951
(INI30290)
PSS011170|
Multi-ancestry (excluding European)|
7,574 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte percentage : 0.09491 [0.0827, 0.10712]
PGS R2 (no covariates): 0.08288 [0.07132, 0.09444]
Incremental R2 (full-covars): 0.07762
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019074 PGS003951
(INI30290)
PSS011143|
European Ancestry|
64,816 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte percentage : 0.01834 [0.01634, 0.02034]
PGS R2 (no covariates): 0.01717 [0.01523, 0.01911]
Incremental R2 (full-covars): 0.01712
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019079 PGS003952
(INI30300)
PSS011143|
European Ancestry|
64,816 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte count : 0.13075 [0.12601, 0.13548]
PGS R2 (no covariates): 0.11335 [0.10885, 0.11784]
Incremental R2 (full-covars): 0.11327
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019080 PGS003952
(INI30300)
PSS011100|
European Ancestry|
2,768 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte count : 0.14122 [0.11773, 0.16471]
PGS R2 (no covariates): 0.12176 [0.09946, 0.14407]
Incremental R2 (full-covars): 0.12235
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019081 PGS003952
(INI30300)
PSS011111|
South Asian Ancestry|
1,393 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte count : 0.11255 [0.08236, 0.14275]
PGS R2 (no covariates): 0.0909 [0.0631, 0.1187]
Incremental R2 (full-covars): 0.08654
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019082 PGS003952
(INI30300)
PSS011153|
African Ancestry|
1,125 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte count : 0.04777 [0.02441, 0.07112]
PGS R2 (no covariates): 0.04026 [0.01865, 0.06188]
Incremental R2 (full-covars): 0.04027
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019083 PGS003952
(INI30300)
PSS011170|
Multi-ancestry (excluding European)|
7,574 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: High light scatter reticulocyte count : 0.12479 [0.11125, 0.13833]
PGS R2 (no covariates): 0.09343 [0.0813, 0.10557]
Incremental R2 (full-covars): 0.08525
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)

Evaluated Samples

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
PSS008143 1,722 individuals East Asian China (East Asia) UKB
PSS010665 6,143 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.4 years
European Italian UKB
PSS010682 6,144 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.4 years
European Italian UKB
PSS000291 39,260 individuals European INTERVAL
PSS009207 3,919 individuals European Poland (NE Europe) UKB
PSS010709 3,574 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010205 2,221 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS000133 40,244 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000134 40,225 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000135 40,227 individuals,
49.0 % Male samples
Mean = 43.85 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000150 40,253 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS000151 40,286 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS009239 3,923 individuals European Poland (NE Europe) UKB
PSS000159 80,067 individuals,
46.0 % Male samples
Mean = 57.2 years
Range = [39.91, 70.52] years
European UKB
PSS000160 80,088 individuals,
46.0 % Male samples
Mean = 57.19 years
Range = [39.66, 72.91] years
European UKB
PSS000161 79,282 individuals,
46.0 % Male samples
Mean = 57.28 years
Range = [39.91, 70.99] years
European UKB
PSS010749 3,574 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010245 2,221 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS009261 3,924 individuals European Poland (NE Europe) UKB
PSS000176 79,344 individuals,
46.0 % Male samples
Mean = 57.29 years
Range = [39.66, 72.91] years
European UKB
PSS000177 79,362 individuals,
46.0 % Male samples
Mean = 57.22 years
Range = [39.66, 72.91] years
European UKB
PSS010766 3,574 individuals,
47.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS008761 6,289 individuals European Italy (South Europe) UKB
PSS010262 2,221 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS010793 3,913 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS010289 2,282 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS008793 6,297 individuals European Italy (South Europe) UKB
PSS008815 6,298 individuals European Italy (South Europe) UKB
PSS010833 3,912 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS008313 5,923 individuals South Asian India (South Asia) UKB
PSS010329 2,282 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS010850 3,913 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS010346 2,281 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS008345 5,935 individuals South Asian India (South Asia) UKB
PSS011099 2,770 individuals European
(non-white British ancestry)
UKB
PSS011100 2,768 individuals European
(non-white British ancestry)
UKB
PSS010877 19,116 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS011111 1,393 individuals South Asian UKB
PSS010373 1,711 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS008367 5,935 individuals South Asian India (South Asia) UKB
PSS011140 64,861 individuals European
(white British ancestry)
UKB
PSS007877 2,293 individuals African American or Afro-Caribbean Carribean UKB
PSS011141 64,860 individuals European
(white British ancestry)
UKB
PSS011143 64,816 individuals European
(white British ancestry)
UKB
PSS010917 19,111 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS011152 1,124 individuals African unspecified UKB
PSS011153 1,125 individuals African unspecified UKB
PSS010413 1,711 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS009433 19,088 individuals European UK (+ Ireland) UKB
PSS010934 19,112 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS011169 7,578 individuals East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB
PSS011170 7,574 individuals East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB
PSS010430 1,711 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS007909 2,294 individuals African American or Afro-Caribbean Carribean UKB
PSS007016 5,974 individuals African unspecified UKB
PSS007017 1,623 individuals East Asian UKB
PSS007018 23,688 individuals European non-white British ancestry UKB
PSS007019 7,323 individuals South Asian UKB
PSS007020 64,569 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007021 5,974 individuals African unspecified UKB
PSS007022 1,623 individuals East Asian UKB
PSS007023 23,688 individuals European non-white British ancestry UKB
PSS007024 7,323 individuals South Asian UKB
PSS007025 64,570 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007026 5,973 individuals African unspecified UKB
PSS007027 1,623 individuals East Asian UKB
PSS007028 23,687 individuals European non-white British ancestry UKB
PSS007029 7,323 individuals South Asian UKB
PSS007030 64,570 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS010457 5,888 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS009465 19,117 individuals European UK (+ Ireland) UKB
PSS007931 2,293 individuals African American or Afro-Caribbean Carribean UKB
PSS007036 5,974 individuals African unspecified UKB
PSS007037 1,623 individuals East Asian UKB
PSS007038 23,681 individuals European non-white British ancestry UKB
PSS007039 7,321 individuals South Asian UKB
PSS007040 64,524 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007041 5,974 individuals African unspecified UKB
PSS007042 1,623 individuals East Asian UKB
PSS007043 23,681 individuals European non-white British ancestry UKB
PSS007044 7,321 individuals South Asian UKB
PSS007045 64,524 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS009487 19,120 individuals European UK (+ Ireland) UKB
PSS008981 3,600 individuals African unspecified Nigeria (West Africa) UKB
PSS010497 5,886 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS009013 3,602 individuals African unspecified Nigeria (West Africa) UKB
PSS010514 5,886 individuals,
55.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS009035 3,602 individuals African unspecified Nigeria (West Africa) UKB
PSS010541 1,097 individuals,
59.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS008535 1,124 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009775 5,976 individuals African unspecified UKB
PSS009776 881 individuals East Asian UKB
PSS009777 41,231 individuals European Non-British European UKB
PSS009778 7,560 individuals South Asian UKB
PSS008567 1,127 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS010581 1,097 individuals,
59.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010598 1,097 individuals,
59.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS008589 1,127 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008090 1,715 individuals East Asian China (East Asia) UKB
PSS010625 6,144 individuals,
45.0 % Male samples
Mean = 54.4 years
Sd = 8.4 years
European Italian UKB
PSS008122 1,722 individuals East Asian China (East Asia) UKB