Trait: prostate specific antigen amount

Trait Information
Identifier OBA_2050200
Description The amount of a prostate-specific antigen when measured in anatomical entity. [AUTO: patterns/patterns/entity_attribute_location]
Trait category
Other measurement
Synonym anatomical entity prostate-specific antigen amount

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)
PGS003378
(PSA_PGS_128)
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Prostate-specific antigen (PSA) levels prostate specific antigen amount 128
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003378/ScoringFiles/PGS003378.txt.gz
PGS003379
(PSA_PGS_CSx)
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Prostate-specific antigen (PSA) levels prostate specific antigen amount 1,071,278
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003379/ScoringFiles/PGS003379.txt.gz
PGS005098
(psa2024_prs_318)
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Prostate specific antigen prostate specific antigen amount 318
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005098/ScoringFiles/PGS005098.txt.gz
PGS005099
(psa2024_prs_447)
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Prostate specific antigen prostate specific antigen amount 447
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005099/ScoringFiles/PGS005099.txt.gz
PGS005100
(psa2024_prs_disc)
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Prostate specific antigen prostate specific antigen amount 1,070,227
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005100/ScoringFiles/PGS005100.txt.gz
PGS005101
(psa2024_prs_joint)
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Prostate specific antigen prostate specific antigen amount 1,070,230
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005101/ScoringFiles/PGS005101.txt.gz
PGS005107
(PGS-PSA111)
 PGP000696 |
Shi M et al. EBioMedicine (2023)
 Prostate-specific antigen (PSA) levels prostate specific antigen amount 111
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005107/ScoringFiles/PGS005107.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
PPM016240 PGS003378
(PSA_PGS_128)
 PSS010066|
European Ancestry|
5,725 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.169 — Partial R2 (%, variation explained by the PGS only): 7.33 Age at PSA measurement, genetic ancestry PC1-PC10 computed within ancestry group Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016241 PGS003378
(PSA_PGS_128)
 PSS010073|
Multi-ancestry (including European)|
25,917 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.207 — Partial R2 (%, variation explained by the PGS only): 8.0 Age at PSA measurement, population-specific genetic ancestry PC1-PC10, genetic ancestry proportions (AFR + EAS) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016242 PGS003378
(PSA_PGS_128)
 PSS010072|
European Ancestry|
22,173 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.213 — Partial R2 (%, variation explained by the PGS only): 8.78 Age at PSA measurement, genetic ancestry PC1-PC10 computed within ancestry group Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016243 PGS003378
(PSA_PGS_128)
 PSS010070|
African Ancestry|
2,936 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.154 — Partial R2 (%, variation explained by the PGS only): 3.36 Age at PSA measurement, population-specific genetic ancestry PC1-PC10, genetic ancestry proportions (AFR + EAS) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016244 PGS003378
(PSA_PGS_128)
 PSS010068|
African Ancestry|
1,173 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.163 — Partial R2 (%, variation explained by the PGS only): 3.45 Age at PSA measurement, genetic ancestry PC1-PC10 computed within ancestry group Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016245 PGS003378
(PSA_PGS_128)
 PSS010069|
African Ancestry|
1,763 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.146 — Partial R2 (%, variation explained by the PGS only): 3.32 Age at PSA measurement, genetic ancestry PC1-PC10 computed within ancestry group Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016246 PGS003378
(PSA_PGS_128)
 PSS010071|
East Asian Ancestry|
257 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.136 — Partial R2 (%, variation explained by the PGS only): 2.45 Age at PSA measurement, genetic ancestry PC1-PC10 computed within ancestry group Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016239 PGS003378
(PSA_PGS_128)
 PSS010067|
Multi-ancestry (including European)|
5,883 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.168 — Partial R2 (%, variation explained by the PGS only): 7.16 Age at PSA measurement, population-specific genetic ancestry PC1-PC10, genetic ancestry proportions (AFR + EAS) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1
PPM016248 PGS003379
(PSA_PGS_CSx)
 PSS010066|
European Ancestry|
5,725 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.194 — Partial R2 (%, variation explained by the PGS only): 8.6 Age at PSA measurement, within-population genetic ancestry PC1-PC10 Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,058,173 SNPs)
PPM016249 PGS003379
(PSA_PGS_CSx)
 PSS010073|
Multi-ancestry (including European)|
25,917 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.258 — Partial R2 (%, variation explained by the PGS only): 9.61 Age at PSA measurement, within-population genetic ancestry PC1-PC10, genetic ancestry proportions (AFR + EAS) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM016250 PGS003379
(PSA_PGS_CSx)
 PSS010072|
European Ancestry|
22,173 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.283 — Partial R2 (%, variation explained by the PGS only): 10.94 Age at PSA measurement, within-population genetic ancestry PC1-PC10 Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM016251 PGS003379
(PSA_PGS_CSx)
 PSS010070|
African Ancestry|
2,936 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.134 — Partial R2 (%, variation explained by the PGS only): 3.11 Age at PSA measurement, within-population genetic ancestry PC1-PC10, genetic ancestry proportions (AFR) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM016252 PGS003379
(PSA_PGS_CSx)
 PSS010068|
African Ancestry|
1,173 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.098 — Partial R2 (%, variation explained by the PGS only): 1.64 Age at PSA measurement, within-population genetic ancestry PC1-PC10 Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM016247 PGS003379
(PSA_PGS_CSx)
 PSS010067|
Multi-ancestry (including European)|
5,883 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.186 — Partial R2 (%, variation explained by the PGS only): 8.13 Age at PSA measurement, within-population genetic ancestry PC1-PC10, genetic ancestry proportions (AFR + EAS) Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,058,173 SNPs)
PPM016253 PGS003379
(PSA_PGS_CSx)
 PSS010069|
African Ancestry|
1,763 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.157 — Partial R2 (%, variation explained by the PGS only): 4.22 Age at PSA measurement, within-population genetic ancestry PC1-PC10 Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM016254 PGS003379
(PSA_PGS_CSx)
 PSS010071|
East Asian Ancestry|
257 individuals
 PGP000412 |
Kachuri L et al. Nat Med (2023)
 Reported Trait: Baseline/pre-randomization log(PSA) β: 0.258 — Partial R2 (%, variation explained by the PGS only): 9.22 Age at PSA measurement, within-population genetic ancestry PC1-PC10 Beta per SD increase in PGS; PGS converted to standardized z-score with mean=0 and SD=1; SNPs and weights specific for use in this cohort (1,071,278 SNPs)
PPM022212 PGS005098
(psa2024_prs_318)
 PSS011848|
African Ancestry|
1,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.065 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022216 PGS005098
(psa2024_prs_318)
 PSS011849|
Additional Asian Ancestries|
257 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.038 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022224 PGS005098
(psa2024_prs_318)
 PSS011844|
African Ancestry|
2,469 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.049 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022228 PGS005098
(psa2024_prs_318)
 PSS011847|
Additional Diverse Ancestries|
1,783 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.073 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022232 PGS005098
(psa2024_prs_318)
 PSS011845|
Hispanic or Latin American Ancestry|
1,336 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.08 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022208 PGS005098
(psa2024_prs_318)
 PSS011850|
European Ancestry|
22,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.095 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022220 PGS005098
(psa2024_prs_318)
 PSS011846|
European Ancestry|
11,922 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.096 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022209 PGS005099
(psa2024_prs_447)
 PSS011850|
European Ancestry|
22,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.109 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022213 PGS005099
(psa2024_prs_447)
 PSS011848|
African Ancestry|
1,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.07 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022217 PGS005099
(psa2024_prs_447)
 PSS011849|
Additional Asian Ancestries|
257 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.035 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022221 PGS005099
(psa2024_prs_447)
 PSS011846|
European Ancestry|
11,922 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.113 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022225 PGS005099
(psa2024_prs_447)
 PSS011844|
African Ancestry|
2,469 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.053 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022229 PGS005099
(psa2024_prs_447)
 PSS011847|
Additional Diverse Ancestries|
1,783 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.086 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022233 PGS005099
(psa2024_prs_447)
 PSS011845|
Hispanic or Latin American Ancestry|
1,336 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.096 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022210 PGS005100
(psa2024_prs_disc)
 PSS011850|
European Ancestry|
22,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.124 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022214 PGS005100
(psa2024_prs_disc)
 PSS011848|
African Ancestry|
1,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.073 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022218 PGS005100
(psa2024_prs_disc)
 PSS011849|
Additional Asian Ancestries|
257 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.086 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022222 PGS005100
(psa2024_prs_disc)
 PSS011846|
European Ancestry|
11,922 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.138 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022226 PGS005100
(psa2024_prs_disc)
 PSS011844|
African Ancestry|
2,469 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.055 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022230 PGS005100
(psa2024_prs_disc)
 PSS011847|
Additional Diverse Ancestries|
1,783 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.133 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022234 PGS005100
(psa2024_prs_disc)
 PSS011845|
Hispanic or Latin American Ancestry|
1,336 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.135 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022211 PGS005101
(psa2024_prs_joint)
 PSS011850|
European Ancestry|
22,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.139 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022215 PGS005101
(psa2024_prs_joint)
 PSS011848|
African Ancestry|
1,173 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.072 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022219 PGS005101
(psa2024_prs_joint)
 PSS011849|
Additional Asian Ancestries|
257 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.107 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022223 PGS005101
(psa2024_prs_joint)
 PSS011846|
European Ancestry|
11,922 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.147 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022227 PGS005101
(psa2024_prs_joint)
 PSS011844|
African Ancestry|
2,469 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.058 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022231 PGS005101
(psa2024_prs_joint)
 PSS011847|
Additional Diverse Ancestries|
1,783 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.14 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022235 PGS005101
(psa2024_prs_joint)
 PSS011845|
Hispanic or Latin American Ancestry|
1,336 individuals
 PGP000692 |
Hoffmann TJ et al. Nat Genet (2025)
 Reported Trait: log(PSA) — — Partial R2: 0.135 age, ancestry pcs Partial r2: variation explained by the PGS only, but derived from a fully adjusted model that includes listed covariates
PPM022292 PGS005107
(PGS-PSA111)
 PSS011904|
Multi-ancestry (including European)|
3,110 individuals
 PGP000696 |
Shi M et al. EBioMedicine (2023)
 Reported Trait: Prostate specific antigen level > 4 ng/mL HR: 1.22 [1.11, 1.35] — — Age at first PSA measurement, 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
PSS011844 Prostate specific antigen — 2,469 individuals,
100.0 % Male samples
 — African unspecified — AllofUs —
PSS011845 Prostate specific antigen — 1,336 individuals,
100.0 % Male samples
 — Hispanic or Latin American — AllofUs —
PSS011846 Prostate specific antigen — 11,922 individuals,
100.0 % Male samples
 — European — AllofUs —
PSS011847 Prostate specific antigen — 1,783 individuals,
100.0 % Male samples
 — Other — AllofUs —
PSS011848 Prostate specific antigen — 1,173 individuals,
100.0 % Male samples
 — African unspecified — SELECT —
PSS011849 Prostate specific antigen — 257 individuals,
100.0 % Male samples
 — Asian unspecified — SELECT —
PSS011850 Prostate specific antigen — 22,173 individuals,
100.0 % Male samples
 — European — SELECT —
PSS011904 — Median = 6.2 years
IQR = [3.7, 10.9] years		 3,110 individuals,
100.0 % Male samples
 Median = 56.6 years
IQR = [51.4, 61.5] years		 European, African unspecified — BioVU No prostate cancer and prostate specific antigen level < 4 mg/mL at baseline
PSS010066 Baseline/pre-randomization PSA in men without prostate cancer — 5,725 individuals,
100.0 % Male samples
 — European
(Predominantly European)		 European (EUR) ancestry cluster based on SNPWEIGHTS score >=0.80; median EUR = 0.998; mean EUR = 0.991 PCPT Minimum enrollment age was 55 years with serum PSA <= 3 ng/mL
PSS010067 Baseline/pre-randomization PSA in men without prostate cancer — 5,883 individuals,
100.0 % Male samples
 — European, Not reported Multi-ancestry pooled sample PCPT Minimum enrollment age was 55 years with serum PSA <= 3 ng/mL
PSS010068 Baseline/pre-randomization PSA in men without prostate cancer — 1,173 individuals,
100.0 % Male samples
 — African American or Afro-Caribbean
(Predominantly West African)		 West African (AFR) ancestry cluster based on SNPWEIGHTS score >=0.80; median AFR = 0.855; mean AFR = 0.861 SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL
PSS010069 Baseline/pre-randomization PSA in men without prostate cancer — 1,763 individuals,
100.0 % Male samples
 — African American or Afro-Caribbean
(West African admixed)		 0.20 < West African (AFR) ancestry score <0.80 based on SNPWEIGHTS; median AFR = 0.673; mean AFR = 0.602 SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL
PSS010070 Baseline/pre-randomization PSA in men without prostate cancer — 2,936 individuals,
100.0 % Male samples
 — African American or Afro-Caribbean
(West African admixed)		 West African (AFR) ancestry score >0.20 based on SNPWEIGHTS; median AFR = 0.765; mean AFR = 0.705 SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL
PSS010071 Baseline/pre-randomization PSA in men without prostate cancer — 257 individuals,
100.0 % Male samples
 — East Asian
(Predominantly East Asian)		 East Asian (EAS) ancestry cluster based on SNPWEIGHTS score >=0.80; median EAS = 0.978; mean EAS = 0.972 SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL
PSS010072 Baseline/pre-randomization PSA in men without prostate cancer — 22,173 individuals,
100.0 % Male samples
 — European
(Predominantly European)		 European (EUR) ancestry cluster based on SNPWEIGHTS score >=0.80; median EUR = 0.995; mean EUR = 0.986 SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL
PSS010073 Baseline/pre-randomization PSA in men without prostate cancer — 25,917 individuals,
100.0 % Male samples
 — European, African American or Afro-Caribbean Multi-ancestry pooled sample SELECT Minimum enrollment age was 50 years for African Americans and 55 years for all other men; serum PSA <= 4 ng/mL