Trait: family history

Experimental Factor Ontology (EFO) Information
Identifier EFO_0000493
Description Family history is a form of clinicaly history specifically about relevant aspects of genetic preconditions or family member's clinical history.
Trait category
Other trait
Synonym FamilyHistory
Mapped terms 2 mapped terms
  • ICD10:Z84
  • MO:59
Child trait(s) 4 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 "family history" 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
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS001132
(GBE_FH1113)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of chronic bronchitis/emphysema family history 1,530
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001132/ScoringFiles/PGS001132.txt.gz
PGS001292
(GBE_FH1044)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of prostate cancer family history of prostate cancer 602
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001292/ScoringFiles/PGS001292.txt.gz
PGS001324
(GBE_FH1065)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of high blood pressure family history 13,862
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001324/ScoringFiles/PGS001324.txt.gz
PGS001328
(GBE_FH1220)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of diabetes family history 2,515
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001328/ScoringFiles/PGS001328.txt.gz
PGS001337
(GBE_FH1002)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of breast cancer family history of breast cancer 195
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001337/ScoringFiles/PGS001337.txt.gz
PGS001347
(GBE_FH1263)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of Alzheimer's/dementia family history of Alzheimer’s disease 139
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001347/ScoringFiles/PGS001347.txt.gz
PGS001392
(GBE_FH1001)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Family history of lung cancer family history of lung cancer 312
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001392/ScoringFiles/PGS001392.txt.gz
PGS004504
(disease.Z82.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Z82 (Family history of certain disabilities and chronic diseases leading to disablement) family history 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004504/ScoringFiles/PGS004504.txt.gz
PGS004574
(meta.Z82.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Z82 (Family history of certain disabilities and chronic diseases leading to disablement) family history 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004574/ScoringFiles/PGS004574.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
PPM008388 PGS001132
(GBE_FH1113)
 PSS004049|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic bronchitis/emphysema (FH) — AUROC: 0.55867 [0.53736, 0.57998] R²: 0.01064
Incremental AUROC (full-covars): -0.00488
PGS R2 (no covariates): 0.00023
PGS AUROC (no covariates): 0.49207 [0.46984, 0.5143]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008389 PGS001132
(GBE_FH1113)
 PSS004050|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic bronchitis/emphysema (FH) — AUROC: 0.59763 [0.55526, 0.63999] R²: 0.03241
Incremental AUROC (full-covars): 0.00659
PGS R2 (no covariates): 0.00372
PGS AUROC (no covariates): 0.53681 [0.49409, 0.57952]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008390 PGS001132
(GBE_FH1113)
 PSS004051|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic bronchitis/emphysema (FH) — AUROC: 0.5885 [0.58009, 0.59692] R²: 0.02565
Incremental AUROC (full-covars): 0.00247
PGS R2 (no covariates): 0.00203
PGS AUROC (no covariates): 0.52356 [0.51492, 0.53221]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008391 PGS001132
(GBE_FH1113)
 PSS004052|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic bronchitis/emphysema (FH) — AUROC: 0.54947 [0.53138, 0.56755] PGS R2 (no covariates): 0.00013
R²: 0.00653
Incremental AUROC (full-covars): -0.00201
PGS AUROC (no covariates): 0.50704 [0.48923, 0.52485]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008392 PGS001132
(GBE_FH1113)
 PSS004053|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Chronic bronchitis/emphysema (FH) — AUROC: 0.58327 [0.57825, 0.58829] R²: 0.02293
Incremental AUROC (full-covars): 0.0012
PGS R2 (no covariates): 0.00095
PGS AUROC (no covariates): 0.51589 [0.51075, 0.52103]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008958 PGS001292
(GBE_FH1044)
 PSS004039|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Prostate cancer (FH) — AUROC: 0.61052 [0.58828, 0.63276] R²: 0.03568
Incremental AUROC (full-covars): -0.00159
PGS R2 (no covariates): 0.00029
PGS AUROC (no covariates): 0.5142 [0.49179, 0.53661]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008959 PGS001292
(GBE_FH1044)
 PSS004040|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Prostate cancer (FH) — AUROC: 0.62093 [0.55962, 0.68225] R²: 0.02796
Incremental AUROC (full-covars): -0.01226
PGS R2 (no covariates): 0.00143
PGS AUROC (no covariates): 0.48253 [0.41865, 0.5464]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008960 PGS001292
(GBE_FH1044)
 PSS004041|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Prostate cancer (FH) — AUROC: 0.56572 [0.5538, 0.57764] R²: 0.01155
Incremental AUROC (full-covars): 0.01702
PGS R2 (no covariates): 0.00547
PGS AUROC (no covariates): 0.54869 [0.53677, 0.56062]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008961 PGS001292
(GBE_FH1044)
 PSS004042|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Prostate cancer (FH) — AUROC: 0.6064 [0.57694, 0.63587] R²: 0.02296
Incremental AUROC (full-covars): 0.00822
PGS R2 (no covariates): 0.00335
PGS AUROC (no covariates): 0.54379 [0.5154, 0.57217]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008962 PGS001292
(GBE_FH1044)
 PSS004043|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Prostate cancer (FH) — AUROC: 0.58464 [0.57731, 0.59197] R²: 0.01828
Incremental AUROC (full-covars): 0.01195
PGS R2 (no covariates): 0.00542
PGS AUROC (no covariates): 0.54716 [0.53996, 0.55435]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009112 PGS001324
(GBE_FH1065)
 PSS004044|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: High BP (FH) — AUROC: 0.59339 [0.57784, 0.60894] R²: 0.03128
Incremental AUROC (full-covars): -0.00542
PGS R2 (no covariates): 0.00353
PGS AUROC (no covariates): 0.53126 [0.51539, 0.54713]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009113 PGS001324
(GBE_FH1065)
 PSS004045|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: High BP (FH) — AUROC: 0.58604 [0.55827, 0.61382] R²: 0.03732
Incremental AUROC (full-covars): 0.02078
PGS R2 (no covariates): 0.01267
PGS AUROC (no covariates): 0.55693 [0.52875, 0.58511]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009114 PGS001324
(GBE_FH1065)
 PSS004046|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: High BP (FH) — AUROC: 0.58225 [0.5751, 0.5894] R²: 0.0275
Incremental AUROC (full-covars): 0.04455
PGS R2 (no covariates): 0.02262
PGS AUROC (no covariates): 0.5748 [0.56762, 0.58198]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009115 PGS001324
(GBE_FH1065)
 PSS004047|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: High BP (FH) — AUROC: 0.59484 [0.58159, 0.6081] R²: 0.0361
Incremental AUROC (full-covars): 0.0245
PGS R2 (no covariates): 0.01922
PGS AUROC (no covariates): 0.57095 [0.55751, 0.58438]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009116 PGS001324
(GBE_FH1065)
 PSS004048|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: High BP (FH) — AUROC: 0.5865 [0.58217, 0.59084] R²: 0.03045
Incremental AUROC (full-covars): 0.06315
PGS R2 (no covariates): 0.0284
PGS AUROC (no covariates): 0.58323 [0.57889, 0.58758]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009127 PGS001328
(GBE_FH1220)
 PSS004054|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Diabetes (FH) — AUROC: 0.59818 [0.58435, 0.61201] R²: 0.0372
Incremental AUROC (full-covars): 0.00441
PGS R2 (no covariates): 0.00401
PGS AUROC (no covariates): 0.53127 [0.51708, 0.54547]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009128 PGS001328
(GBE_FH1220)
 PSS004055|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Diabetes (FH) — AUROC: 0.56465 [0.53655, 0.59276] R²: 0.02549
Incremental AUROC (full-covars): 0.0225
PGS R2 (no covariates): 0.00709
PGS AUROC (no covariates): 0.53656 [0.50824, 0.56489]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009129 PGS001328
(GBE_FH1220)
 PSS004056|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Diabetes (FH) — AUROC: 0.58763 [0.57927, 0.59598] R²: 0.02799
Incremental AUROC (full-covars): 0.03336
PGS R2 (no covariates): 0.01623
PGS AUROC (no covariates): 0.56772 [0.55933, 0.57611]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009130 PGS001328
(GBE_FH1220)
 PSS004057|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Diabetes (FH) — AUROC: 0.58336 [0.57075, 0.59597] R²: 0.03022
Incremental AUROC (full-covars): 0.03694
PGS R2 (no covariates): 0.02309
PGS AUROC (no covariates): 0.57176 [0.55908, 0.58443]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009131 PGS001328
(GBE_FH1220)
 PSS004058|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Diabetes (FH) — AUROC: 0.57463 [0.56952, 0.57975] R²: 0.01929
Incremental AUROC (full-covars): 0.05803
PGS R2 (no covariates): 0.01839
PGS AUROC (no covariates): 0.57283 [0.56773, 0.57794]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009171 PGS001337
(GBE_FH1002)
 PSS004034|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Breast cancer (FH) — AUROC: 0.57882 [0.5595, 0.59814] R²: 0.01774
Incremental AUROC (full-covars): 0.00262
PGS R2 (no covariates): 0.00016
PGS AUROC (no covariates): 0.50866 [0.48823, 0.52909]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009172 PGS001337
(GBE_FH1002)
 PSS004035|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Breast cancer (FH) — AUROC: 0.60865 [0.56929, 0.64801] R²: 0.03344
Incremental AUROC (full-covars): 0.01456
PGS R2 (no covariates): 0.0091
PGS AUROC (no covariates): 0.56734 [0.52563, 0.60905]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009173 PGS001337
(GBE_FH1002)
 PSS004036|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Breast cancer (FH) — AUROC: 0.57917 [0.56994, 0.5884] R²: 0.01887
Incremental AUROC (full-covars): 0.00313
PGS R2 (no covariates): 0.002
PGS AUROC (no covariates): 0.52353 [0.51419, 0.53286]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009174 PGS001337
(GBE_FH1002)
 PSS004037|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Breast cancer (FH) — AUROC: 0.60464 [0.58531, 0.62397] R²: 0.02766
Incremental AUROC (full-covars): 0.00261
PGS R2 (no covariates): 0.00157
PGS AUROC (no covariates): 0.52221 [0.5025, 0.54191]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009175 PGS001337
(GBE_FH1002)
 PSS004038|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Breast cancer (FH) — AUROC: 0.57389 [0.56837, 0.57941] R²: 0.01618
Incremental AUROC (full-covars): 0.00514
PGS R2 (no covariates): 0.0022
PGS AUROC (no covariates): 0.527 [0.52143, 0.53258]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009216 PGS001347
(GBE_FH1263)
 PSS004059|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alzheimer's/dementia (FH) — AUROC: 0.60815 [0.58401, 0.63228] R²: 0.02957
Incremental AUROC (full-covars): -0.00275
PGS R2 (no covariates): 0.00019
PGS AUROC (no covariates): 0.50162 [0.47638, 0.52686]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009217 PGS001347
(GBE_FH1263)
 PSS004060|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alzheimer's/dementia (FH) — AUROC: 0.65316 [0.60391, 0.70242] R²: 0.05029
Incremental AUROC (full-covars): 0.01325
PGS R2 (no covariates): 0.00988
PGS AUROC (no covariates): 0.55047 [0.49474, 0.60619]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009218 PGS001347
(GBE_FH1263)
 PSS004061|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alzheimer's/dementia (FH) — AUROC: 0.60962 [0.60006, 0.61918] R²: 0.03194
Incremental AUROC (full-covars): 0.01629
PGS R2 (no covariates): 0.00825
PGS AUROC (no covariates): 0.55082 [0.5403, 0.56135]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009219 PGS001347
(GBE_FH1263)
 PSS004062|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alzheimer's/dementia (FH) — AUROC: 0.58721 [0.56379, 0.61063] R²: 0.01634
Incremental AUROC (full-covars): 0.00317
PGS R2 (no covariates): 0.00225
PGS AUROC (no covariates): 0.52129 [0.49619, 0.5464]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009220 PGS001347
(GBE_FH1263)
 PSS004063|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Alzheimer's/dementia (FH) — AUROC: 0.60904 [0.60337, 0.61471] R²: 0.03418
Incremental AUROC (full-covars): 0.02436
PGS R2 (no covariates): 0.01188
PGS AUROC (no covariates): 0.55827 [0.55209, 0.56446]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005195 PGS001392
(GBE_FH1001)
 PSS004029|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Lung cancer (FH) — AUROC: 0.5814 [0.56522, 0.59758] R²: 0.02252
Incremental AUROC (full-covars): -0.00177
PGS R2 (no covariates): 0.00021
PGS AUROC (no covariates): 0.49231 [0.47576, 0.50886]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005196 PGS001392
(GBE_FH1001)
 PSS004030|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Lung cancer (FH) — AUROC: 0.585 [0.55514, 0.61486] R²: 0.02833
Incremental AUROC (full-covars): -0.00236
PGS R2 (no covariates): 0.00024
PGS AUROC (no covariates): 0.4925 [0.46136, 0.52364]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005197 PGS001392
(GBE_FH1001)
 PSS004031|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Lung cancer (FH) — AUROC: 0.58684 [0.57949, 0.59418] R²: 0.02847
Incremental AUROC (full-covars): 0.00084
PGS R2 (no covariates): 0.00154
PGS AUROC (no covariates): 0.51927 [0.51173, 0.52681]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005198 PGS001392
(GBE_FH1001)
 PSS004032|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Lung cancer (FH) — AUROC: 0.55862 [0.54359, 0.57365] R²: 0.01079
Incremental AUROC (full-covars): -0.0005
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.50036 [0.48483, 0.51589]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005199 PGS001392
(GBE_FH1001)
 PSS004033|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Lung cancer (FH) — AUROC: 0.58081 [0.57641, 0.58522] R²: 0.02597
Incremental AUROC (full-covars): 0.00042
PGS R2 (no covariates): 0.00043
PGS AUROC (no covariates): 0.51047 [0.50596, 0.51498]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM020619 PGS004504
(disease.Z82.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Z82 (Family history of certain disabilities and chronic diseases leading to disablement) OR: 1.15277 — — — —
PPM020689 PGS004574
(meta.Z82.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Z82 (Family history of certain disabilities and chronic diseases leading to disablement) OR: 1.24248 — — — —

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
PSS004029 — —
[
  • 1,538 cases
  • , 4,959 controls
]
 — African unspecified — UKB —
PSS004030 — —
[
  • 440 cases
  • , 1,264 controls
]
 — East Asian — UKB —
PSS004031 — —
[
  • 8,653 cases
  • , 16,252 controls
]
 — European non-white British ancestry UKB —
PSS004032 — —
[
  • 1,740 cases
  • , 6,091 controls
]
 — South Asian — UKB —
PSS004033 — —
[
  • 24,970 cases
  • , 42,455 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004034 — —
[
  • 886 cases
  • , 5,611 controls
]
 — African unspecified — UKB —
PSS004035 — —
[
  • 205 cases
  • , 1,499 controls
]
 — East Asian — UKB —
PSS004036 — —
[
  • 4,521 cases
  • , 20,384 controls
]
 — European non-white British ancestry UKB —
PSS004037 — —
[
  • 966 cases
  • , 6,865 controls
]
 — South Asian — UKB —
PSS004038 — —
[
  • 12,512 cases
  • , 54,913 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004039 — —
[
  • 769 cases
  • , 5,728 controls
]
 — African unspecified — UKB —
PSS004040 — —
[
  • 79 cases
  • , 1,625 controls
]
 — East Asian — UKB —
PSS004041 — —
[
  • 2,572 cases
  • , 22,333 controls
]
 — European non-white British ancestry UKB —
PSS004042 — —
[
  • 413 cases
  • , 7,418 controls
]
 — South Asian — UKB —
PSS004043 — —
[
  • 6,888 cases
  • , 60,537 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004044 — —
[
  • 4,775 cases
  • , 1,722 controls
]
 — African unspecified — UKB —
PSS004045 — —
[
  • 1,063 cases
  • , 641 controls
]
 — East Asian — UKB —
PSS004046 — —
[
  • 14,691 cases
  • , 10,214 controls
]
 — European non-white British ancestry UKB —
PSS004047 — —
[
  • 5,302 cases
  • , 2,529 controls
]
 — South Asian — UKB —
PSS004048 — —
[
  • 39,694 cases
  • , 27,731 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004049 — —
[
  • 743 cases
  • , 5,754 controls
]
 — African unspecified — UKB —
PSS004050 — —
[
  • 200 cases
  • , 1,504 controls
]
 — East Asian — UKB —
PSS004051 — —
[
  • 5,555 cases
  • , 19,350 controls
]
 — European non-white British ancestry UKB —
PSS004052 — —
[
  • 1,151 cases
  • , 6,680 controls
]
 — South Asian — UKB —
PSS004053 — —
[
  • 15,769 cases
  • , 51,656 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004054 — —
[
  • 2,779 cases
  • , 3,718 controls
]
 — African unspecified — UKB —
PSS004055 — —
[
  • 612 cases
  • , 1,092 controls
]
 — East Asian — UKB —
PSS004056 — —
[
  • 5,829 cases
  • , 19,076 controls
]
 — European non-white British ancestry UKB —
PSS004057 — —
[
  • 4,226 cases
  • , 3,605 controls
]
 — South Asian — UKB —
PSS004058 — —
[
  • 15,823 cases
  • , 51,602 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004059 — —
[
  • 561 cases
  • , 5,936 controls
]
 — African unspecified — UKB —
PSS004060 — —
[
  • 129 cases
  • , 1,575 controls
]
 — East Asian — UKB —
PSS004061 — —
[
  • 3,496 cases
  • , 21,409 controls
]
 — European non-white British ancestry UKB —
PSS004062 — —
[
  • 596 cases
  • , 7,235 controls
]
 — South Asian — UKB —
PSS004063 — —
[
  • 10,334 cases
  • , 57,091 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS011364 — — 56,192 individuals — European — UKB —