Trait: syndromic disease

Trait Information
Identifier MONDO_0002254
Description A group of signs, symptoms, and clinicopathological characteristics that may or may not have a genetic basis and collectively define an abnormal condition. [NCIT: C28193]
Trait category
Other disease
Synonyms 9 synonyms
  • cluster, symptom
  • clusters, symptom
  • symptom cluster
  • symptom clusters
  • syndrome
  • syndrome associated with disease or disorder
  • syndromes
  • syndromic disease
  • syndromic disease or disorder
Mapped terms 5 mapped terms
  • DOID:225
  • MESH:D013577
  • NCIT:C28193
  • OGMS:0000086
  • UMLS:C0039082
Child trait(s) 8 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 PGS for child terms of "syndromic disease" in the EFO hierarchy.
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)
PGS000198
(G-PROB_PsA)
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Psoriatic arthritis psoriatic arthritis 250
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000198/ScoringFiles/PGS000198.txt.gz
PGS000342
(wGRS_PsA)
 PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
 Psoriatic arthritis psoriatic arthritis 11
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000342/ScoringFiles/PGS000342.txt.gz
PGS000343
(wGRS_PsA_HLA)
 PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
 Psoriatic arthritis psoriatic arthritis 5
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000343/ScoringFiles/PGS000343.txt.gz
PGS000737
(PRS_BrS)
 PGP000144 |
Tadros R et al. Eur Heart J (2019)
 Brugada syndrome Brugada syndrome 3
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000737/ScoringFiles/PGS000737.txt.gz
PGS000922
(GBE_HC170)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Sarcoidosis sarcoidosis 12
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000922/ScoringFiles/PGS000922.txt.gz
PGS000923
(GBE_HC639)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Sarcoidosis (time-to-event) sarcoidosis 22
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000923/ScoringFiles/PGS000923.txt.gz
PGS001051
(GBE_HC96)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Polymyalgia rheumatica polymyalgia rheumatica 69
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001051/ScoringFiles/PGS001051.txt.gz
PGS001287
(GBE_HC91)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Psoriatic arthropathy psoriatic arthritis 36
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001287/ScoringFiles/PGS001287.txt.gz
PGS001308
(GBE_HC321)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Sjogren's syndrome/sicca syndrome Sjogren syndrome 7
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.txt.gz
PGS001779
(BRSprs)
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Brugada syndrome Brugada syndrome 21
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001779/ScoringFiles/PGS001779.txt.gz
PGS001872
(portability-PLR_697)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Sarcoidosis skin sarcoidosis 79
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001872/ScoringFiles/PGS001872.txt.gz
PGS001878
(portability-PLR_717)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Polymyalgia rheumatica polymyalgia rheumatica 142
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001878/ScoringFiles/PGS001878.txt.gz
PGS002084
(portability-ldpred2_697)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Sarcoidosis skin sarcoidosis 403,417
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002084/ScoringFiles/PGS002084.txt.gz
PGS002091
(portability-ldpred2_717)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Polymyalgia rheumatica polymyalgia rheumatica 129,938
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002091/ScoringFiles/PGS002091.txt.gz
PGS003354
(SSNS-GRS)
 PGP000407 |
Downie ML et al. Pediatr Nephrol (2022)
 Childhood steroid-sensitive nephrotic syndrome nephrotic syndrome 5
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003354/ScoringFiles/PGS003354.txt.gz
PGS003479
(LDPred2_SleepApnea)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Obstructive sleep apnea obstructive sleep apnea 836,839
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003479/ScoringFiles/PGS003479.txt.gz
PGS003857
(GRS18_BMIunadj)
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Obstructive sleep apnea obstructive sleep apnea 18
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003857/ScoringFiles/PGS003857.txt.gz
PGS003858
(GRS6_BMIadj)
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Obstructive sleep apnea (BMI adjusted) obstructive sleep apnea 6
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003858/ScoringFiles/PGS003858.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
PPM000581 PGS000198
(G-PROB_PsA)
 PSS000313|
European Ancestry|
243 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis — AUROC: 0.62 [0.48, 0.8] — — (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000575 PGS000198
(G-PROB_PsA)
 PSS000312|
European Ancestry|
245 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis — AUROC: 0.71 [0.63, 0.82] — — (Setting II: Assigning patient diagnoses based on medical records)
PPM000569 PGS000198
(G-PROB_PsA)
 PSS000321|
Multi-ancestry (including European)|
1,211 individuals
 PGP000081 |
Knevel R et al. Sci Transl Med (2020)
 Reported Trait: Psoriatic arthritis diagnosis in patient with arthritis — AUROC: 0.61 [0.52, 0.69] — — (Setting I: Assigning patient diagnoses based on billing codes)
PPM000971 PGS000342
(wGRS_PsA)
 PSS000490|
Ancestry Not Reported|
543 individuals
 PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
 Reported Trait: Psoriatic arthritis — AUROC: 0.562 [0.506, 0.618] — — —
PPM000972 PGS000343
(wGRS_PsA_HLA)
 PSS000490|
Ancestry Not Reported|
543 individuals
 PGP000111 |
Smith MP et al. J Psoriasis Psoriatic Arthritis (2020)
 Reported Trait: Psoriatic arthritis — AUROC: 0.569 [0.513, 0.625] — — —
PPM001757 PGS000737
(PRS_BrS)
 PSS000905|
European Ancestry|
1,185 individuals
 PGP000144 |
Tadros R et al. Eur Heart J (2019)
 Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram OR: 1.174 [1.138, 1.21] — — — —
PPM001758 PGS000737
(PRS_BrS)
 PSS000905|
European Ancestry|
1,185 individuals
 PGP000144 |
Tadros R et al. Eur Heart J (2019)
 Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram — C-index: 0.68 [0.65, 0.71] correlation coefficient (r): -0.14 — —
PPM007440 PGS000922
(GBE_HC170)
 PSS004322|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sarcoidosis — AUROC: 0.70759 [0.63998, 0.7752] PGS R2 (no covariates): 0.02057
R²: 0.05219
Incremental AUROC (full-covars): 0.03111
PGS AUROC (no covariates): 0.64298 [0.57429, 0.71167]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007441 PGS000922
(GBE_HC170)
 PSS004323|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sarcoidosis — AUROC: 0.67662 [0.6145, 0.73874] R²: 0.03062
Incremental AUROC (full-covars): 0.02209
PGS R2 (no covariates): 0.00799
PGS AUROC (no covariates): 0.60582 [0.54774, 0.66391]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007442 PGS000922
(GBE_HC170)
 PSS004324|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sarcoidosis — AUROC: 0.66108 [0.58927, 0.7329] R²: 0.03112
Incremental AUROC (full-covars): 0.00713
PGS R2 (no covariates): 0.00089
PGS AUROC (no covariates): 0.52621 [0.44905, 0.60338]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007443 PGS000922
(GBE_HC170)
 PSS004325|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sarcoidosis — AUROC: 0.6486 [0.60932, 0.68789] R²: 0.01916
Incremental AUROC (full-covars): 0.09187
PGS R2 (no covariates): 0.01741
PGS AUROC (no covariates): 0.64282 [0.60353, 0.68211]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007444 PGS000923
(GBE_HC639)
 PSS004551|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE sarcoidosis — AUROC: 0.70171 [0.64012, 0.7633] R²: 0.05018
Incremental AUROC (full-covars): 0.03514
PGS R2 (no covariates): 0.02657
PGS AUROC (no covariates): 0.66456 [0.60597, 0.72315]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007445 PGS000923
(GBE_HC639)
 PSS004552|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE sarcoidosis — AUROC: 0.67371 [0.61511, 0.7323] R²: 0.02923
Incremental AUROC (full-covars): 0.00926
PGS R2 (no covariates): 0.00429
PGS AUROC (no covariates): 0.58898 [0.53125, 0.64671]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007446 PGS000923
(GBE_HC639)
 PSS004553|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE sarcoidosis — AUROC: 0.67148 [0.61146, 0.73151] R²: 0.0372
Incremental AUROC (full-covars): 0.00677
PGS R2 (no covariates): 0.00103
PGS AUROC (no covariates): 0.52237 [0.45814, 0.58661]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007447 PGS000923
(GBE_HC639)
 PSS004554|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: TTE sarcoidosis — AUROC: 0.65455 [0.6217, 0.6874] R²: 0.02088
Incremental AUROC (full-covars): 0.09004
PGS R2 (no covariates): 0.018
PGS AUROC (no covariates): 0.64561 [0.61168, 0.67954]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008013 PGS001051
(GBE_HC96)
 PSS004751|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Polymyalgia rheumatica — AUROC: 0.84007 [0.73377, 0.94637] R²: 0.10995
Incremental AUROC (full-covars): 0.00396
PGS R2 (no covariates): 0.0041
PGS AUROC (no covariates): 0.59347 [0.45814, 0.7288]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008014 PGS001051
(GBE_HC96)
 PSS004752|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Polymyalgia rheumatica — AUROC: 0.94435 [0.88977, 0.99892] R²: 0.24363
Incremental AUROC (full-covars): 0.00372
PGS R2 (no covariates): 0.00287
PGS AUROC (no covariates): 0.45385 [0.09439, 0.81331]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008015 PGS001051
(GBE_HC96)
 PSS004753|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Polymyalgia rheumatica — AUROC: 0.82077 [0.78717, 0.85438] R²: 0.12384
Incremental AUROC (full-covars): 0.0077
PGS R2 (no covariates): 0.01385
PGS AUROC (no covariates): 0.60167 [0.54507, 0.65826]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008016 PGS001051
(GBE_HC96)
 PSS004754|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Polymyalgia rheumatica — AUROC: 0.73708 [0.62459, 0.84956] R²: 0.05254
Incremental AUROC (full-covars): 0.00266
PGS R2 (no covariates): 0.00471
PGS AUROC (no covariates): 0.54813 [0.38601, 0.71025]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008017 PGS001051
(GBE_HC96)
 PSS004755|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Polymyalgia rheumatica — AUROC: 0.76042 [0.73986, 0.78098] R²: 0.07774
Incremental AUROC (full-covars): 0.0165
PGS R2 (no covariates): 0.01265
PGS AUROC (no covariates): 0.61026 [0.58102, 0.6395]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008933 PGS001287
(GBE_HC91)
 PSS004706|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Psoriatic arthropathy — AUROC: 0.98006 [0.94602, 1.0] Incremental AUROC (full-covars): 0.00516
R²: 0.29301
PGS R2 (no covariates): 0.01017
PGS AUROC (no covariates): 0.72132 [0.63231, 0.81034]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008934 PGS001287
(GBE_HC91)
 PSS004707|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Psoriatic arthropathy — AUROC: 0.99354 [0.98059, 1.0] R²: 0.5357
Incremental AUROC (full-covars): -0.00088
PGS R2 (no covariates): 0.00227
PGS AUROC (no covariates): 0.47826 [0.0, 0.96911]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008935 PGS001287
(GBE_HC91)
 PSS004708|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Psoriatic arthropathy — AUROC: 0.72814 [0.67154, 0.78475] R²: 0.05154
Incremental AUROC (full-covars): 0.08346
PGS R2 (no covariates): 0.0335
PGS AUROC (no covariates): 0.67648 [0.61155, 0.7414]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008936 PGS001287
(GBE_HC91)
 PSS004709|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Psoriatic arthropathy — AUROC: 0.71827 [0.61363, 0.82292] R²: 0.04395
Incremental AUROC (full-covars): 0.00838
PGS R2 (no covariates): 0.00229
PGS AUROC (no covariates): 0.56943 [0.44876, 0.69011]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008937 PGS001287
(GBE_HC91)
 PSS004710|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Psoriatic arthropathy — AUROC: 0.6376 [0.60073, 0.67447] R²: 0.02161
Incremental AUROC (full-covars): 0.0945
PGS R2 (no covariates): 0.02111
PGS AUROC (no covariates): 0.63567 [0.598, 0.67334]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009034 PGS001308
(GBE_HC321)
 PSS004437|
African Ancestry|
6,497 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sjogren's syndrome/sicca syndrome — AUROC: 0.79846 [0.71474, 0.88218] R²: 0.07345
Incremental AUROC (full-covars): 0.0079
PGS R2 (no covariates): 0.01471
PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009035 PGS001308
(GBE_HC321)
 PSS004438|
East Asian Ancestry|
1,704 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sjogren's syndrome/sicca syndrome — AUROC: 0.75824 [0.55089, 0.96558] R²: 0.05686
Incremental AUROC (full-covars): 0.00691
PGS R2 (no covariates): 0.0091
PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009036 PGS001308
(GBE_HC321)
 PSS004439|
European Ancestry|
24,905 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sjogren's syndrome/sicca syndrome — AUROC: 0.77174 [0.71988, 0.82361] R²: 0.07435
Incremental AUROC (full-covars): 0.01461
PGS R2 (no covariates): 0.01453
PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009037 PGS001308
(GBE_HC321)
 PSS004440|
South Asian Ancestry|
7,831 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sjogren's syndrome/sicca syndrome — AUROC: 0.8014 [0.74455, 0.85826] R²: 0.08893
Incremental AUROC (full-covars): 0.00953
PGS R2 (no covariates): 0.03189
PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009038 PGS001308
(GBE_HC321)
 PSS004441|
European Ancestry|
67,425 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Sjogren's syndrome/sicca syndrome — AUROC: 0.73313 [0.69647, 0.76978] R²: 0.04771
Incremental AUROC (full-covars): 0.01551
PGS R2 (no covariates): 0.01074
PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009271 PGS001779
(BRSprs)
 PSS007680|
European Ancestry|
359,017 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: Supraventricular tachycardia OR: 0.92 [0.89, 0.96] — p-value: 4e-05 — —
PPM009270 PGS001779
(BRSprs)
 PSS007675|
European Ancestry|
359,017 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: Conduction system disorder orbradyarrhythmia OR: 1.06 [1.03, 1.08] — p-value: 4.63e-06 — —
PPM009272 PGS001779
(BRSprs)
 PSS007676|
European Ancestry|
11,942 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: PQ interval β: 2.69866 — p-value: 1.90e-45 — —
PPM009273 PGS001779
(BRSprs)
 PSS007677|
European Ancestry|
11,566 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: P wave duration β: 0.7576 — p-value: 5.32e-09 — —
PPM009274 PGS001779
(BRSprs)
 PSS007678|
European Ancestry|
11,877 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: QRS complex duration β: 1.23043 — p-value: 4.21e-55 — —
PPM009268 PGS001779
(BRSprs)
 PSS007671|
European Ancestry|
359,017 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: Atrial fibrillation or flutter OR: 0.94 [0.92, 0.95] — p-value: 6.22e-13 — —
PPM009269 PGS001779
(BRSprs)
 PSS007672|
European Ancestry|
359,017 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: Atrioventricular conduction disorder OR: 1.16 [1.1, 1.21] — p-value: 1.47e-09 — —
PPM009275 PGS001779
(BRSprs)
 PSS007679|
European Ancestry|
11,893 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: QT interval β: -1.56242 — p-value: 4.75e-16 — —
PPM009266 PGS001779
(BRSprs)
 PSS007673|
European Ancestry|
2,469 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: SCN5A Mutation in Burgada syndrome cases β: -0.45 — p-value: 2.10e-17 — —
PPM009267 PGS001779
(BRSprs)
 PSS007674|
European Ancestry|
2,820 individuals
 PGP000260 |
Barc J et al. Nat Genet (2022)
 Reported Trait: Brugada baseline or drug-induced type 1 ECG in Burgada syndrome cases β: 0.18 — p-value: 2e-05 — —
PPM009865 PGS001872
(portability-PLR_697)
 PSS009348|
European Ancestry|
19,670 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0199 [0.0059, 0.0338] sex, age, birth date, deprivation index, 16 PCs —
PPM009866 PGS001872
(portability-PLR_697)
 PSS009122|
European Ancestry|
4,059 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0123 [-0.0186, 0.0431] sex, age, birth date, deprivation index, 16 PCs —
PPM009867 PGS001872
(portability-PLR_697)
 PSS008676|
European Ancestry|
6,565 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0166 [-0.0076, 0.0408] sex, age, birth date, deprivation index, 16 PCs —
PPM009868 PGS001872
(portability-PLR_697)
 PSS008450|
Greater Middle Eastern Ancestry|
1,186 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0554 [-0.002, 0.1124] sex, age, birth date, deprivation index, 16 PCs —
PPM009869 PGS001872
(portability-PLR_697)
 PSS008230|
South Asian Ancestry|
6,194 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.018 [-0.0069, 0.0429] sex, age, birth date, deprivation index, 16 PCs —
PPM009871 PGS001872
(portability-PLR_697)
 PSS008899|
African Ancestry|
3,882 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0332 [0.0017, 0.0647] sex, age, birth date, deprivation index, 16 PCs —
PPM009870 PGS001872
(portability-PLR_697)
 PSS007795|
African Ancestry|
2,441 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0157 [-0.0242, 0.0555] sex, age, birth date, deprivation index, 16 PCs —
PPM009909 PGS001878
(portability-PLR_717)
 PSS009355|
European Ancestry|
20,000 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0215 [0.0076, 0.0353] sex, age, birth date, deprivation index, 16 PCs —
PPM009911 PGS001878
(portability-PLR_717)
 PSS008683|
European Ancestry|
6,660 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0135 [-0.0105, 0.0376] sex, age, birth date, deprivation index, 16 PCs —
PPM009912 PGS001878
(portability-PLR_717)
 PSS008457|
Greater Middle Eastern Ancestry|
1,200 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0172 [-0.0399, 0.0742] sex, age, birth date, deprivation index, 16 PCs —
PPM009913 PGS001878
(portability-PLR_717)
 PSS008237|
South Asian Ancestry|
6,331 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0191 [-0.0056, 0.0438] sex, age, birth date, deprivation index, 16 PCs —
PPM009914 PGS001878
(portability-PLR_717)
 PSS008016|
East Asian Ancestry|
1,810 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): -0.0064 [-0.0527, 0.0399] sex, age, birth date, deprivation index, 16 PCs —
PPM009915 PGS001878
(portability-PLR_717)
 PSS007801|
African Ancestry|
2,484 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0191 [-0.0204, 0.0585] sex, age, birth date, deprivation index, 16 PCs —
PPM009916 PGS001878
(portability-PLR_717)
 PSS008905|
African Ancestry|
3,924 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0283 [-0.0031, 0.0596] sex, age, birth date, deprivation index, 16 PCs —
PPM009910 PGS001878
(portability-PLR_717)
 PSS009129|
European Ancestry|
4,136 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0281 [-0.0025, 0.0586] sex, age, birth date, deprivation index, 16 PCs —
PPM011533 PGS002084
(portability-ldpred2_697)
 PSS009348|
European Ancestry|
19,670 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0184 [0.0044, 0.0324] sex, age, birth date, deprivation index, 16 PCs —
PPM011534 PGS002084
(portability-ldpred2_697)
 PSS009122|
European Ancestry|
4,059 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0038 [-0.0271, 0.0346] sex, age, birth date, deprivation index, 16 PCs —
PPM011535 PGS002084
(portability-ldpred2_697)
 PSS008676|
European Ancestry|
6,565 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0103 [-0.0139, 0.0345] sex, age, birth date, deprivation index, 16 PCs —
PPM011536 PGS002084
(portability-ldpred2_697)
 PSS008450|
Greater Middle Eastern Ancestry|
1,186 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0603 [0.0029, 0.1173] sex, age, birth date, deprivation index, 16 PCs —
PPM011537 PGS002084
(portability-ldpred2_697)
 PSS008230|
South Asian Ancestry|
6,194 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0182 [-0.0067, 0.0432] sex, age, birth date, deprivation index, 16 PCs —
PPM011538 PGS002084
(portability-ldpred2_697)
 PSS007795|
African Ancestry|
2,441 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0131 [-0.0268, 0.0529] sex, age, birth date, deprivation index, 16 PCs —
PPM011539 PGS002084
(portability-ldpred2_697)
 PSS008899|
African Ancestry|
3,882 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Sarcoidosis — — Partial Correlation (partial-r): 0.0187 [-0.0128, 0.0502] sex, age, birth date, deprivation index, 16 PCs —
PPM011585 PGS002091
(portability-ldpred2_717)
 PSS009355|
European Ancestry|
20,000 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0222 [0.0084, 0.0361] sex, age, birth date, deprivation index, 16 PCs —
PPM011586 PGS002091
(portability-ldpred2_717)
 PSS009129|
European Ancestry|
4,136 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0201 [-0.0104, 0.0506] sex, age, birth date, deprivation index, 16 PCs —
PPM011587 PGS002091
(portability-ldpred2_717)
 PSS008683|
European Ancestry|
6,660 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0127 [-0.0113, 0.0368] sex, age, birth date, deprivation index, 16 PCs —
PPM011588 PGS002091
(portability-ldpred2_717)
 PSS008457|
Greater Middle Eastern Ancestry|
1,200 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0089 [-0.0482, 0.0659] sex, age, birth date, deprivation index, 16 PCs —
PPM011589 PGS002091
(portability-ldpred2_717)
 PSS008237|
South Asian Ancestry|
6,331 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0224 [-0.0023, 0.047] sex, age, birth date, deprivation index, 16 PCs —
PPM011590 PGS002091
(portability-ldpred2_717)
 PSS008016|
East Asian Ancestry|
1,810 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): -0.0123 [-0.0586, 0.0341] sex, age, birth date, deprivation index, 16 PCs —
PPM011591 PGS002091
(portability-ldpred2_717)
 PSS007801|
African Ancestry|
2,484 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0205 [-0.0191, 0.0599] sex, age, birth date, deprivation index, 16 PCs —
PPM011592 PGS002091
(portability-ldpred2_717)
 PSS008905|
African Ancestry|
3,924 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Polymyalgia Rheumatica — — Partial Correlation (partial-r): 0.0283 [-0.003, 0.0596] sex, age, birth date, deprivation index, 16 PCs —
PPM016206 PGS003354
(SSNS-GRS)
 PSS010057|
European Ancestry|
597 individuals
 PGP000407 |
Downie ML et al. Pediatr Nephrol (2022)
 Reported Trait: Non-monogenic idiopathic nephrotic syndrome — AUROC: 0.638 [0.543, 0.733] — — —
PPM017318 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: DBP β: 0.038 (0.093) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017319 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Eosinophils count β: 0.003 (0.002) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017320 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: FEV1/FVC ratio β: -0.035 (0.06) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017321 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Fasting insulin β: 0.156 (0.091) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017322 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HbA1c β: 0.291 (0.122) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017323 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Hematocrit β: 0.039 (0.031) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017324 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Hemoglobin β: 0.014 (0.011) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017325 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-B β: 1.851 (1.169) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017326 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-IR β: 0.051 (0.03) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017327 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Heart rate β: 0.038 (0.106) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017328 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Insomnia β: 0.015 (0.049) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017329 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: LDL β: -0.358 (0.336) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017330 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Lymphocyte count β: 0.002 (0.007) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017331 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Mean arterial pressure β: 0.011 (0.102) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017333 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: RBC β: 0.003 (0.003) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017334 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Sleep duration β: 0.0 (0.013) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017335 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Total cholesterol β: -0.324 (0.391) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017336 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Triglycerides β: 0.725 (0.93) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017337 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: WBC β: 0.006 (0.018) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017338 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Waist hip ratio β: 0.002 (0.001) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017339 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: FEV1/FVC ratio β: 0.002 (0.018) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017380 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: DBP in obsese β: -0.084 (0.148) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017381 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: DBP in non-obsese β: 0.116 (0.118) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017382 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Fasting insulin in obsese β: 0.201 (0.161) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017383 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Fasting insulin in non-obsese β: 0.175 (0.089) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017384 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HbA1c in obsese β: 0.052 (0.197) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017385 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HbA1c in non-obsese β: 0.488 (0.151) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017386 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-B in obsese β: 0.724 (2.105) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017387 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-B in non-obsese β: 1.664 (1.084) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017388 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-IR in obsese β: 0.076 (0.057) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017389 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: HOMA-IR in non-obsese β: 0.062 (0.029) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017390 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Waist hip ratio in obsese β: 0.002 (0.001) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017391 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Waist hip ratio in non-obsese β: 0.001 (0.001) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017332 PGS003479
(LDPred2_SleepApnea)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Pulse pressure β: -0.073 (0.104) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM018710 PGS003857
(GRS18_BMIunadj)
 PSS011076|
Multi-ancestry (including European)|
40,193 individuals
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Reported Trait: BMI adjusted obstructive sleep apnea β: 0.014 (0.017) AUROC: 0.77 [0.75, 0.78] — BMI, age, sex, genetic batch, PCs 1-10 —
PPM018709 PGS003857
(GRS18_BMIunadj)
 PSS011076|
Multi-ancestry (including European)|
40,193 individuals
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Reported Trait: BMI unadjusted obstructive sleep apnea β: 0.082 (0.016) AUROC: 0.66 [0.64, 0.67] — age, sex, genetic batch, PCs 1-10 —
PPM018711 PGS003858
(GRS6_BMIadj)
 PSS011076|
Multi-ancestry (including European)|
40,193 individuals
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Reported Trait: BMI unadjusted obstructive sleep apnea β: 0.048 (0.015) AUROC: 0.62 [0.61, 0.64] — age, sex, genetic batch, PCs 1-10 —
PPM018712 PGS003858
(GRS6_BMIadj)
 PSS011076|
Multi-ancestry (including European)|
40,193 individuals
 PGP000496 |
Sofer T et al. EBioMedicine (2023)
 Reported Trait: BMI adjusted obstructive sleep apnea β: 0.066 (0.017) AUROC: 0.77 [0.76, 0.79] — BMI, age, sex, genetic batch, PCs 1-10 —

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
PSS008905 — — 3,924 individuals — African unspecified Nigeria (West Africa) UKB —
PSS004551 — —
[
  • 72 cases
  • , 6,425 controls
]
 — African unspecified — UKB —
PSS004552 — —
[
  • 77 cases
  • , 24,828 controls
]
 — European non-white British ancestry UKB —
PSS004553 — —
[
  • 72 cases
  • , 7,759 controls
]
 — South Asian — UKB —
PSS004554 — —
[
  • 227 cases
  • , 67,198 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS008016 — — 1,810 individuals — East Asian China (East Asia) UKB —
PSS000905 Intravenous ajmaline was administered at consecutive boluses of 10 mg/min. A 10-s ECG was recorded ∼1 min after each bolus using a GE Healthcare electrocardiograph. The test was stopped when the target dose of 1 mg/kg rounded up to the next 10 mg was reached, if ventricular arrhythmia occurred, or at the manifestation of a Type I BrS pattern, defined as an ST elevation >2 mm with a coved morphology in any lead among V1–V2 in the 2nd to 4th intercostal spaces.15 — 1,185 individuals — European — Amsterdam —
PSS010057 — — 597 individuals — European — NR BRIDGE
PSS004437 — —
[
  • 17 cases
  • , 6,480 controls
]
 — African unspecified — UKB —
PSS004438 — —
[
  • 4 cases
  • , 1,700 controls
]
 — East Asian — UKB —
PSS004439 — —
[
  • 58 cases
  • , 24,847 controls
]
 — European non-white British ancestry UKB —
PSS004440 — —
[
  • 29 cases
  • , 7,802 controls
]
 — South Asian — UKB —
PSS004441 — —
[
  • 135 cases
  • , 67,290 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS008676 — — 6,565 individuals — European Italy (South Europe) UKB —
PSS004322 — —
[
  • 58 cases
  • , 6,439 controls
]
 — African unspecified — UKB —
PSS004323 — —
[
  • 67 cases
  • , 24,838 controls
]
 — European non-white British ancestry UKB —
PSS004324 — —
[
  • 48 cases
  • , 7,783 controls
]
 — South Asian — UKB —
PSS000312 Setting II: Based on ICD codes and review of medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 8.0 years
[
  • 30 cases
  • , 215 controls
]
,
32.0 % Male samples
 — European — PHB —
PSS000313 Setting III: Based on ICD codes and final diagnosis in medical records from Partners HealthCare Biobank; controls = other non-matching arthritis diseases Median = 7.0 years
[
  • 22 cases
  • , 221 controls
]
,
32.0 % Male samples
 — European — PHB —
PSS004325 — —
[
  • 176 cases
  • , 67,249 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS004706 — —
[
  • 2 cases
  • , 6,495 controls
]
 — African unspecified — UKB —
PSS004707 — —
[
  • 2 cases
  • , 1,702 controls
]
 — East Asian — UKB —
PSS004708 — —
[
  • 81 cases
  • , 24,824 controls
]
 — European non-white British ancestry UKB —
PSS004709 — —
[
  • 21 cases
  • , 7,810 controls
]
 — South Asian — UKB —
PSS004710 — —
[
  • 231 cases
  • , 67,194 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007795 — — 2,441 individuals — African American or Afro-Caribbean Carribean UKB —
PSS000321 Setting I: Based on ICD codes and expert opinion (ACR2010 criteria), in eMERGE network EMR database from Stanaway 2018; controls = other non-matching arthritis diseases Median = 16.0 years
[
  • 52 cases
  • , 1,159 controls
]
,
43.0 % Male samples
 — European, African unspecified, Asian unspecified, NR Primarily European, African and Asian ancestry eMERGE —
PSS007801 — — 2,484 individuals — African American or Afro-Caribbean Carribean UKB —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —
PSS008450 — — 1,186 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009348 — — 19,670 individuals — European UK (+ Ireland) UKB —
PSS008457 — — 1,200 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009355 — — 20,000 individuals — European UK (+ Ireland) UKB —
PSS000490 Cases included physician-confirmed psoriatic arthritis (PsA). Controls inclded individuals with psoriasis with no history of joint symptoms (psoriasis only - PsO). —
[
  • 140 cases
  • , 403 controls
]
 — NR — NR —
PSS004751 — —
[
  • 13 cases
  • , 6,484 controls
]
 — African unspecified — UKB —
PSS004752 — —
[
  • 3 cases
  • , 1,701 controls
]
 — East Asian — UKB —
PSS004753 — —
[
  • 118 cases
  • , 24,787 controls
]
 — European non-white British ancestry UKB —
PSS004754 — —
[
  • 16 cases
  • , 7,815 controls
]
 — South Asian — UKB —
PSS004755 — —
[
  • 394 cases
  • , 67,031 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007671 An atrial tachyarrhythmia characterised by rapid (usually faster than 300 bpm), irregular and uncoordinated atrial impulse generation, usually manifesting on ECG with indistinct P-waves and an irregularly irregular ventricular response. —
[
  • 13,763 cases
  • , 345,254 controls
]
 — European British UKB —
PSS007672 Disorder of the atrioventricular conduction system in which there is failure of all atrial impulses to propagate to the ventricle —
[
  • 1,716 cases
  • , 357,301 controls
]
 — European British UKB —
PSS007675 Disorder of the atrioventricular conduction system in which there is failure of all atrial impulses to propagate to the ventricle or Any of a number of possible arrhythmias originating from at or above the level of bundle of His in which the heart beats slower than the age-dependent lower limits of normal. —
[
  • 6,711 cases
  • , 352,306 controls
]
 — European British UKB —
PSS007676 Electrocardiogram PQ interval — 11,942 individuals — European British UKB —
PSS007677 Electrocardiogram P-wave duration — 11,566 individuals — European British UKB —
PSS007678 Electrocardiogram QRS duration — 11,877 individuals — European British UKB —
PSS007679 Electrocardiogram QT interval — 11,893 individuals — European British UKB —
PSS007680 associated with episodes of atrial tachycardia —
[
  • 2,645 cases
  • , 356,372 controls
]
 — European British UKB —
PSS007673 Pathogenicity of rare variants in SCN5A identified in included BrS cases was centrally assessed using the American College of Medical Genetics and Genomics and Association of Molecular Pathology (ACMG/AMP) guidelines, using an adapted version of CardioClassifier incorporating a quantitative approach based on case-control analyses, as performed previously in hypertrophic cardiomyopathy genes, as well as a curated compendium of functional data. —
[
  • 454 cases
  • , 2,015 controls
]
 — European Dutch, Belgian, German, British, Turkish, Italian, Spanish, Danish, French, Irish NR These samples overlap with the cases used in the score development
PSS007674 A type 1 Brugada Syndrome ECG was defined as a coved type ST elevation at baseline (spontaneous) or after a drug challenge test, in one or more leads in the right precordial leads V1 and/or V2 in the standard position (4th intercostal space) or in high positions (2nd or 3rd intercostal spaces). —
[
  • 993 cases
  • , 1,827 controls
]
 — European Dutch, Belgian, German, British, Turkish, Italian, Spanish, Danish, French, Irish NR These samples overlap with the cases used in the score development
PSS009122 — — 4,059 individuals — European Poland (NE Europe) UKB —
PSS008230 — — 6,194 individuals — South Asian India (South Asia) UKB —
PSS011076 — — 2,023 individuals,
37.4 % Male samples
 Mean = 53.16 years
Sd = 16.23 years		 African unspecified — MGBB —
PSS009129 — — 4,136 individuals — European Poland (NE Europe) UKB —
PSS011076 — — 34,764 individuals,
46.7 % Male samples
 Mean = 60.62 years
Sd = 16.83 years		 European — MGBB —
PSS011076 — — 1,182 individuals,
31.3 % Male samples
 Mean = 52.29 years
Sd = 16.56 years		 Hispanic or Latin American — MGBB —
PSS011076 — — 1,292 individuals,
46.8 % Male samples
 Mean = 52.08 years
Sd = 18.42 years		 Not reported — MGBB —
PSS008237 — — 6,331 individuals — South Asian India (South Asia) UKB —
PSS011076 — — 932 individuals,
41.8 % Male samples
 Mean = 47.0 years
Sd = 15.67 years		 Asian unspecified — MGBB —
PSS008683 — — 6,660 individuals — European Italy (South Europe) UKB —
PSS008899 — — 3,882 individuals — African unspecified Nigeria (West Africa) UKB —