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 % 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

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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚age*sex, assessment center, genotyping array, 10 PCs

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
PSS007877 2,293 individuals African American or Afro-Caribbean Carribean UKB
PSS009035 3,602 individuals African unspecified Nigeria (West Africa) UKB
PSS008143 1,722 individuals East Asian China (East Asia) UKB
PSS008535 1,124 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009433 19,088 individuals European UK (+ Ireland) UKB
PSS008793 6,297 individuals European Italy (South Europe) UKB
PSS007909 2,294 individuals African American or Afro-Caribbean Carribean 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
PSS000291 39,260 individuals European INTERVAL
PSS008815 6,298 individuals European Italy (South Europe) 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)
PSS009207 3,919 individuals European Poland (NE Europe) UKB
PSS008313 5,923 individuals South Asian India (South Asia) 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
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
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
PSS008589 1,127 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008981 3,600 individuals African unspecified Nigeria (West Africa) UKB
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
PSS008345 5,935 individuals South Asian India (South Asia) UKB
PSS008090 1,715 individuals East Asian China (East Asia) 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
PSS009261 3,924 individuals European Poland (NE Europe) UKB
PSS008367 5,935 individuals South Asian India (South Asia) 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
PSS008567 1,127 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009013 3,602 individuals African unspecified Nigeria (West Africa) UKB
PSS008761 6,289 individuals European Italy (South Europe) UKB
PSS008122 1,722 individuals East Asian China (East Asia) UKB