Trait: hematocrit

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004348
Description The volume of packed RED BLOOD CELLS in a blood specimen. The volume is measured by centrifugation in a tube with graduated markings, or with automated blood cell counters. It is an indicator of erythrocyte status in disease. For example, ANEMIA shows a low value; POLYCYTHEMIA, a high value.
Trait category
Hematological measurement
Synonyms 3 synonyms
  • Ht
  • packed erythrocyte volume
  • packed red-cell volume
Mapped terms 2 mapped terms
  • MeSH:D006400
  • MedDRA:10019422

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000092
(hct)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Hematocrit hematocrit 28,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000092/ScoringFiles/PGS000092.txt.gz
PGS000167
(hct)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Hematocrit hematocrit 502
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000167/ScoringFiles/PGS000167.txt.gz
PGS001225
(GBE_INI30030)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Percentage of hematocrit hematocrit 15,721
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001225/ScoringFiles/PGS001225.txt.gz
PGS001925
(portability-PLR_haematocrit_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Haematocrit percentage hematocrit 67,571
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001925/ScoringFiles/PGS001925.txt.gz
PGS002141
(portability-ldpred2_haematocrit_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Haematocrit percentage hematocrit 797,804
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002141/ScoringFiles/PGS002141.txt.gz
PGS003467
(LDPred2_HCT)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Hematocrit hematocrit 860,314
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003467/ScoringFiles/PGS003467.txt.gz
PGS003511
(cont-decay-haematocrit_perc)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Haematocrit percentage hematocrit 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003511/ScoringFiles/PGS003511.txt.gz
PGS003927
(INI30030)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Hematocrit percentage hematocrit 20,106
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003927/ScoringFiles/PGS003927.txt.gz
PGS004348
(X30030.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Haematocrit percentage hematocrit 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004348/ScoringFiles/PGS004348.txt.gz
PGS004771
(Hct_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Hematocrit hematocrit 594,293
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004771/ScoringFiles/PGS004771.txt.gz
PGS004772
(hct_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Hematocrit hematocrit 1,259,662
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004772/ScoringFiles/PGS004772.txt.gz
PGS004773
(Hct_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Hematocrit hematocrit 1,176,938
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004773/ScoringFiles/PGS004773.txt.gz
PGS004774
(hct_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Hematocrit hematocrit 1,259,662
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004774/ScoringFiles/PGS004774.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
PPM000216 PGS000092
(hct)
 PSS000157|
European Ancestry|
81,622 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Hematocrit — — Pearson correlation coefficent (r): 0.36874 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)
PPM000217 PGS000092
(hct)
 PSS000131|
European Ancestry|
40,340 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Hematocrit — — Pearson correlation coefficent (r): 0.29832 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) —
PPM001777 PGS000167
(hct)
 PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
 PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.		 Reported Trait: Hematocrit — — Pearson correlation coefficent (r): 0.15 — —
PPM000548 PGS000167
(hct)
 PSS000290|
European Ancestry|
2,314 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Hematocrit — — R²: 0.05147 sex, age, 10 genetic PCs —
PPM000523 PGS000167
(hct)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Hematocrit — — R²: 0.04931 sex, age, 10 genetic PCs —
PPM008639 PGS001225
(GBE_INI30030)
 PSS006921|
African Ancestry|
6,139 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Haematocrit % — — Incremental R2 (full-covars): 0.01035
R²: 0.39181 [0.37331, 0.41032]
PGS R2 (no covariates): 0.01326 [0.00774, 0.01879]		 age, sex, UKB array type, Genotype PCs —
PPM008640 PGS001225
(GBE_INI30030)
 PSS006922|
East Asian Ancestry|
1,655 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Haematocrit % — — R²: 0.4128 [0.37705, 0.44856]
Incremental R2 (full-covars): 0.02196
PGS R2 (no covariates): 0.02063 [0.0073, 0.03396]		 age, sex, UKB array type, Genotype PCs —
PPM008641 PGS001225
(GBE_INI30030)
 PSS006923|
European Ancestry|
24,175 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Haematocrit % — — R²: 0.396 [0.38656, 0.40544]
Incremental R2 (full-covars): 0.05878
PGS R2 (no covariates): 0.06263 [0.0568, 0.06846]		 age, sex, UKB array type, Genotype PCs —
PPM008642 PGS001225
(GBE_INI30030)
 PSS006924|
South Asian Ancestry|
7,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Haematocrit % — — R²: 0.4249 [0.4083, 0.4415]
Incremental R2 (full-covars): 0.02482
PGS R2 (no covariates): 0.0222 [0.01575, 0.02865]		 age, sex, UKB array type, Genotype PCs —
PPM008643 PGS001225
(GBE_INI30030)
 PSS006925|
European Ancestry|
65,638 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Haematocrit % — — R²: 0.39123 [0.38548, 0.39698]
Incremental R2 (full-covars): 0.06504
PGS R2 (no covariates): 0.06544 [0.06183, 0.06904]		 age, sex, UKB array type, Genotype PCs —
PPM010275 PGS001925
(portability-PLR_haematocrit_perc)
 PSS009411|
European Ancestry|
19,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.3256 [0.3129, 0.3381] sex, age, birth date, deprivation index, 16 PCs —
PPM010276 PGS001925
(portability-PLR_haematocrit_perc)
 PSS009185|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.3126 [0.2843, 0.3404] sex, age, birth date, deprivation index, 16 PCs —
PPM010277 PGS001925
(portability-PLR_haematocrit_perc)
 PSS008739|
European Ancestry|
6,437 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2824 [0.2597, 0.3047] sex, age, birth date, deprivation index, 16 PCs —
PPM010278 PGS001925
(portability-PLR_haematocrit_perc)
 PSS008513|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2516 [0.1962, 0.3053] sex, age, birth date, deprivation index, 16 PCs —
PPM010281 PGS001925
(portability-PLR_haematocrit_perc)
 PSS007855|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.13 [0.0898, 0.1698] sex, age, birth date, deprivation index, 16 PCs —
PPM010282 PGS001925
(portability-PLR_haematocrit_perc)
 PSS008959|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.1286 [0.0967, 0.1602] sex, age, birth date, deprivation index, 16 PCs —
PPM010279 PGS001925
(portability-PLR_haematocrit_perc)
 PSS008291|
South Asian Ancestry|
6,078 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2255 [0.2015, 0.2493] sex, age, birth date, deprivation index, 16 PCs —
PPM010280 PGS001925
(portability-PLR_haematocrit_perc)
 PSS008068|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2014 [0.1559, 0.2461] sex, age, birth date, deprivation index, 16 PCs —
PPM011981 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS007855|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.1376 [0.0974, 0.1772] sex, age, birth date, deprivation index, 16 PCs —
PPM011975 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS009411|
European Ancestry|
19,423 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.3167 [0.304, 0.3293] sex, age, birth date, deprivation index, 16 PCs —
PPM011976 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS009185|
European Ancestry|
4,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.3059 [0.2775, 0.3338] sex, age, birth date, deprivation index, 16 PCs —
PPM011977 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS008739|
European Ancestry|
6,437 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2833 [0.2607, 0.3057] sex, age, birth date, deprivation index, 16 PCs —
PPM011978 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS008513|
Greater Middle Eastern Ancestry|
1,153 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.2387 [0.183, 0.2929] sex, age, birth date, deprivation index, 16 PCs —
PPM011979 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS008291|
South Asian Ancestry|
6,078 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.224 [0.1999, 0.2478] sex, age, birth date, deprivation index, 16 PCs —
PPM011980 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS008068|
East Asian Ancestry|
1,762 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.1992 [0.1536, 0.2438] sex, age, birth date, deprivation index, 16 PCs —
PPM011982 PGS002141
(portability-ldpred2_haematocrit_perc)
 PSS008959|
African Ancestry|
3,711 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Haematocrit percentage — — Partial Correlation (partial-r): 0.1335 [0.1016, 0.165] sex, age, birth date, deprivation index, 16 PCs —
PPM017278 PGS003467
(LDPred2_HCT)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: -0.005 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017301 PGS003467
(LDPred2_HCT)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: 0.008 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017439 PGS003511
(cont-decay-haematocrit_perc)
 PSS010873|
European Ancestry|
19,418 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM017523 PGS003511
(cont-decay-haematocrit_perc)
 PSS010789|
European Ancestry|
3,991 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM017607 PGS003511
(cont-decay-haematocrit_perc)
 PSS010621|
European Ancestry|
6,278 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.08 sex, age, deprivation index, PC1-16 —
PPM017691 PGS003511
(cont-decay-haematocrit_perc)
 PSS010537|
Greater Middle Eastern Ancestry|
1,123 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM017775 PGS003511
(cont-decay-haematocrit_perc)
 PSS010201|
European Ancestry|
2,264 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM017859 PGS003511
(cont-decay-haematocrit_perc)
 PSS010453|
South Asian Ancestry|
6,026 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017943 PGS003511
(cont-decay-haematocrit_perc)
 PSS010369|
East Asian Ancestry|
1,750 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM018111 PGS003511
(cont-decay-haematocrit_perc)
 PSS010705|
African Ancestry|
3,682 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM018027 PGS003511
(cont-decay-haematocrit_perc)
 PSS010285|
African Ancestry|
2,330 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Haematocrit percentage — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM018954 PGS003927
(INI30030)
 PSS011136|
European Ancestry|
65,932 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Hematocrit percentage — — R²: 0.39954 [0.39382, 0.40526]
PGS R2 (no covariates): 0.06736 [0.06371, 0.071]
Incremental R2 (full-covars): 0.0668		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018955 PGS003927
(INI30030)
 PSS011109|
European Ancestry|
2,813 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Hematocrit percentage — — R²: 0.42556 [0.39828, 0.45283]
PGS R2 (no covariates): 0.05792 [0.04142, 0.07443]
Incremental R2 (full-covars): 0.0582		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018957 PGS003927
(INI30030)
 PSS011155|
African Ancestry|
1,157 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Hematocrit percentage — — R²: 0.4128 [0.37046, 0.45514]
PGS R2 (no covariates): 0.0161 [0.00209, 0.0301]
Incremental R2 (full-covars): 0.00702		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018958 PGS003927
(INI30030)
 PSS011166|
Multi-ancestry (excluding European)|
7,746 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Hematocrit percentage — — R²: 0.40359 [0.387, 0.42018]
PGS R2 (no covariates): 0.04862 [0.03943, 0.05781]
Incremental R2 (full-covars): 0.04508		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018956 PGS003927
(INI30030)
 PSS011113|
South Asian Ancestry|
1,433 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Hematocrit percentage — — R²: 0.42574 [0.38774, 0.46374]
PGS R2 (no covariates): 0.03312 [0.01528, 0.05097]
Incremental R2 (full-covars): 0.03573		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020463 PGS004348
(X30030.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Haematocrit percentage — — PGS R2 (no covariates): 0.18557 — —
PPM020996 PGS004771
(Hct_PRSmix_eur)
 PSS011493|
European Ancestry|
5,174 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Hematocrit — — Incremental R2 (Full model versus model with only covariates): 0.03 [0.021, 0.039] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020997 PGS004772
(hct_PRSmix_sas)
 PSS011494|
South Asian Ancestry|
5,766 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Hematocrit — — Incremental R2 (Full model versus model with only covariates): 0.016 [0.009, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020998 PGS004773
(Hct_PRSmixPlus_eur)
 PSS011493|
European Ancestry|
5,174 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Hematocrit — — Incremental R2 (Full model versus model with only covariates): 0.033 [0.023, 0.042] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020999 PGS004774
(hct_PRSmixPlus_sas)
 PSS011494|
South Asian Ancestry|
5,766 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Hematocrit — — Incremental R2 (Full model versus model with only covariates): 0.017 [0.011, 0.024] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)

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
PSS010789 — — 3,991 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS010537 — — 1,123 individuals,
59.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS010285 — — 2,330 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011155 — — 1,157 individuals — African unspecified — UKB —
PSS011166 — — 7,746 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS009185 — — 4,002 individuals — European Poland (NE Europe) UKB —
PSS008291 — — 6,078 individuals — South Asian India (South Asia) UKB —
PSS000290 — — 2,314 individuals — European
(French Canadian)		 — CARTaGENE —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS000911 — — 13,989 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)		 — QBB —
PSS011493 — — 5,174 individuals — European — AllofUs —
PSS010705 — — 3,682 individuals,
47.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS011494 — — 5,766 individuals — South Asian — G&H —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —
PSS010453 — — 6,026 individuals,
55.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS008959 — — 3,711 individuals — African unspecified Nigeria (West Africa) UKB —
PSS010201 — — 2,264 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS000131 — — 40,340 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS008068 — — 1,762 individuals — East Asian China (East Asia) UKB —
PSS006921 — — 6,139 individuals — African unspecified — UKB —
PSS006922 — — 1,655 individuals — East Asian — UKB —
PSS006923 — — 24,175 individuals — European non-white British ancestry UKB —
PSS006924 — — 7,520 individuals — South Asian — UKB —
PSS006925 — — 65,638 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS000157 — — 81,622 individuals,
46.0 % Male samples
 Mean = 57.26 years
Range = [40.11, 72.44] years		 European — UKB —
PSS010873 — — 19,418 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS008739 — — 6,437 individuals — European Italy (South Europe) UKB —
PSS010621 — — 6,278 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS011109 — — 2,813 individuals — European
(non-white British ancestry)		 — UKB —
PSS010369 — — 1,750 individuals,
33.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011113 — — 1,433 individuals — South Asian — UKB —
PSS007855 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011136 — — 65,932 individuals — European
(white British ancestry)		 — UKB —
PSS008513 — — 1,153 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009411 — — 19,423 individuals — European UK (+ Ireland) UKB —