| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0005278 |
| Description | cardiovascular disease biomarkers, such as ST2 cardiac biomarker and C-reactive protein, are used as indicators for cardiovascular disease and as predictors for therapeutic responses | Trait category |
Cardiovascular measurement
|
| Child trait(s) |
14 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000061 (GRS_LDL) |
PGP000045 | Johnson L et al. PLoS One (2015) |
low-density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000061/ScoringFiles/PGS000061.txt.gz |
| PGS000065 (GLGC2017_LDL) |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000065/ScoringFiles/PGS000065.txt.gz |
| PGS000115 (LDL-C_20) |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
low density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 223 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000115/ScoringFiles/PGS000115.txt.gz |
| PGS000192 (GS9) |
PGP000079 | Kathiresan S et al. N Engl J Med (2008) |
Cholesterol | low density lipoprotein cholesterol measurement, high density lipoprotein cholesterol measurement |
9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000192/ScoringFiles/PGS000192.txt.gz |
| PGS000300 (GRS80_HR) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Heart rate | resting heart rate | 80 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000300/ScoringFiles/PGS000300.txt.gz |
| PGS000310 (GRS194_LDL) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Low-density lipoprotein | low density lipoprotein cholesterol measurement | 194 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000310/ScoringFiles/PGS000310.txt.gz |
| PGS000340 (LDL-Cpsp) |
PGP000107 | Trinder M et al. Circ Genom Precis Med (2020) |
Low-density lipoprotein cholesterol levels | low density lipoprotein cholesterol measurement | 28 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000340/ScoringFiles/PGS000340.txt.gz |
| PGS000661 (PRS-LDL) |
PGP000121 | Tam CHT et al. Genome Med (2021) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 84 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000661/ScoringFiles/PGS000661.txt.gz | |
| PGS000671 (snpnet.Apolipoprotein_A) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Apolipoprotein A [g/L] | apolipoprotein A 1 measurement | 19,324 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000671/ScoringFiles/PGS000671.txt.gz |
| PGS000688 (snpnet.LDL_direct_adjstatins) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
LDL cholesterol [mmol/L] (statin adjusted) | low density lipoprotein cholesterol measurement | 16,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000688/ScoringFiles/PGS000688.txt.gz |
| PGS000735 (PRS_PR) |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
PR interval | PR interval | 44 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000735/ScoringFiles/PGS000735.txt.gz |
| PGS000736 (PRS_QRS) |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
QRS duration | QRS duration | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000736/ScoringFiles/PGS000736.txt.gz |
| PGS000768 (PRS_QT) |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
QT-interval | QT interval | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000768/ScoringFiles/PGS000768.txt.gz |
| PGS000814 (GRS12_LDLc) |
PGP000200 | Talmud PJ et al. Lancet (2013) |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000814/ScoringFiles/PGS000814.txt.gz |
| PGS000824 (LDL-C_PGS) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000824/ScoringFiles/PGS000824.txt.gz |
| PGS000846 (LDL) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Low density lipoprotein (LDL) | low density lipoprotein cholesterol measurement | 275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000846/ScoringFiles/PGS000846.txt.gz |
| PGS000875 (PGS36_LDLc) |
PGP000221 | Leal LG et al. Mol Genet Genomic Med (2020) |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 36 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000875/ScoringFiles/PGS000875.txt.gz | |
| PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,222,318 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000886/ScoringFiles/PGS000886.txt.gz |
| PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000887/ScoringFiles/PGS000887.txt.gz |
| PGS000888 (GLGC_2021_ALL_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,239,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000888/ScoringFiles/PGS000888.txt.gz |
| PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 9,009 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000889/ScoringFiles/PGS000889.txt.gz |
| PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,029,158 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000890/ScoringFiles/PGS000890.txt.gz |
| PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000891/ScoringFiles/PGS000891.txt.gz |
| PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,119,211 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000892/ScoringFiles/PGS000892.txt.gz |
| PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 5,427 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000893/ScoringFiles/PGS000893.txt.gz |
| PGS000894 (GLGC_2021_HIS_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,175,595 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000894/ScoringFiles/PGS000894.txt.gz |
| PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 76 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000895/ScoringFiles/PGS000895.txt.gz |
| PGS000896 (GLGC_2021_SAS_LDL_PRS_weights_PRS-CS) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 1,100,062 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000896/ScoringFiles/PGS000896.txt.gz |
| PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PGP000230 | Graham SE et al. Nature (2021) |
Low density lipoprotein (LDL) cholesterol | low density lipoprotein cholesterol measurement | 13 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000897/ScoringFiles/PGS000897.txt.gz |
| PGS000904 (PRS582_PR) |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
PR interval | PR interval | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000904/ScoringFiles/PGS000904.txt.gz |
| PGS000905 (PRS743_PR) |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
PR interval | PR interval | 743 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000905/ScoringFiles/PGS000905.txt.gz |
| PGS001233 (GBE_INI102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Heart rate (AR) | heart rate | 14,455 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001233/ScoringFiles/PGS001233.txt.gz |
| PGS001375 (GBE_INI22426) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Average heart rate | heart rate | 243 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001375/ScoringFiles/PGS001375.txt.gz |
| PGS001412 (GBE_INI22420) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
LV ejection fraction | left ventricular ejection fraction measurement | 266 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001412/ScoringFiles/PGS001412.txt.gz |
| PGS001413 (GBE_INI22423) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
LV stroke volume | left ventricular stroke volume measurement | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001413/ScoringFiles/PGS001413.txt.gz |
| PGS001519 (GBE_INI4199) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Position of pulse wave notch | arterial stiffness measurement | 693 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001519/ScoringFiles/PGS001519.txt.gz |
| PGS001520 (GBE_INI4198) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Position of the pulse wave peak | arterial stiffness measurement | 1,358 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001520/ScoringFiles/PGS001520.txt.gz |
| PGS001521 (GBE_INI22330) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
PQ interval | PR interval | 391 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001521/ScoringFiles/PGS001521.txt.gz |
| PGS001523 (GBE_INI4194) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Pulse rate | heart rate | 4,117 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001523/ScoringFiles/PGS001523.txt.gz |
| PGS001524 (GBE_INI95) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Pulse rate (during blood-pressure measurement) | heart rate | 765 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001524/ScoringFiles/PGS001524.txt.gz |
| PGS001525 (GBE_INI12340) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
QRS duration | QRS duration | 401 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001525/ScoringFiles/PGS001525.txt.gz |
| PGS001526 (GBE_INI22331) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
QT interval | QT interval | 609 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001526/ScoringFiles/PGS001526.txt.gz |
| PGS001527 (GBE_INI22332) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
QTC interval (QT interval according to Bazett) | QT interval | 115 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001527/ScoringFiles/PGS001527.txt.gz |
| PGS001888 (portability-PLR_apoA) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Apolipoprotein A | apolipoprotein A 1 measurement | 74,596 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001888/ScoringFiles/PGS001888.txt.gz |
| PGS001902 (portability-PLR_ECG_P_duration) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
P duration | P wave duration | 640 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001902/ScoringFiles/PGS001902.txt.gz |
| PGS001903 (portability-PLR_ECG_PP_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
PP interval | PP interval | 4,368 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001903/ScoringFiles/PGS001903.txt.gz |
| PGS001904 (portability-PLR_ECG_PQ_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
PQ interval | PR interval | 826 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001904/ScoringFiles/PGS001904.txt.gz |
| PGS001905 (portability-PLR_ECG_QT_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QT interval | QT interval | 2,300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001905/ScoringFiles/PGS001905.txt.gz |
| PGS001906 (portability-PLR_ECG_QTC_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QTC interval | QT interval | 641 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001906/ScoringFiles/PGS001906.txt.gz |
| PGS001907 (portability-PLR_ECG_RR_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
RR interval | RR interval | 1,964 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001907/ScoringFiles/PGS001907.txt.gz |
| PGS001933 (portability-PLR_LDL) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
LDL direct | low density lipoprotein cholesterol measurement | 25,604 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001933/ScoringFiles/PGS001933.txt.gz |
| PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QRS duration | QRS duration | 1,967 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001948/ScoringFiles/PGS001948.txt.gz |
| PGS001975 (portability-PLR_log_pulse_rate) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Pulse rate, automated reading | heart rate | 62,254 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001975/ScoringFiles/PGS001975.txt.gz |
| PGS001981 (portability-PLR_log_ventricular_rate) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ventricular rate | ventricular rate measurement | 6,324 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001981/ScoringFiles/PGS001981.txt.gz |
| PGS002101 (portability-ldpred2_apoA) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Apolipoprotein A | apolipoprotein A 1 measurement | 681,234 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002101/ScoringFiles/PGS002101.txt.gz |
| PGS002116 (portability-ldpred2_ECG_P_duration) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
P duration | P wave duration | 564,874 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002116/ScoringFiles/PGS002116.txt.gz |
| PGS002117 (portability-ldpred2_ECG_PP_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
PP interval | PP interval | 667,705 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002117/ScoringFiles/PGS002117.txt.gz |
| PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
PQ interval | PR interval | 413,539 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002118/ScoringFiles/PGS002118.txt.gz |
| PGS002119 (portability-ldpred2_ECG_QT_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QT interval | QT interval | 571,268 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002119/ScoringFiles/PGS002119.txt.gz |
| PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QTC interval | QT interval | 490,392 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002120/ScoringFiles/PGS002120.txt.gz |
| PGS002121 (portability-ldpred2_ECG_RR_interval) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
RR interval | RR interval | 616,710 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002121/ScoringFiles/PGS002121.txt.gz |
| PGS002150 (portability-ldpred2_LDL) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
LDL direct | low density lipoprotein cholesterol measurement | 360,007 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002150/ScoringFiles/PGS002150.txt.gz |
| PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
QRS duration | QRS duration | 471,172 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002166/ScoringFiles/PGS002166.txt.gz |
| PGS002193 (portability-ldpred2_log_pulse_rate) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Pulse rate, automated reading | heart rate | 858,487 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002193/ScoringFiles/PGS002193.txt.gz |
| PGS002199 (portability-ldpred2_log_ventricular_rate) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ventricular rate | ventricular rate measurement | 705,680 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002199/ScoringFiles/PGS002199.txt.gz |
| PGS002267 (PRS89_AA) |
PGP000296 | Pirruccello JP et al. Nat Genet (2021) |
Ascending thoracic aortic diameter | cardiovascular disease biomarker measurement, aortic measurement |
89 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002267/ScoringFiles/PGS002267.txt.gz |
| PGS002274 (LDL-PRS) |
PGP000303 | Groenland EH et al. Atherosclerosis (2022) |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002274/ScoringFiles/PGS002274.txt.gz |
| PGS002276 (QTc_PRS-CS) |
PGP000304 | Nauffal V et al. Circulation (2022) |
QTc duration | QT interval | 1,110,494 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002276/ScoringFiles/PGS002276.txt.gz | |
| PGS002278 (GRS16_snLVEF) |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Supranormal left ventricular ejection fraction | left ventricular ejection fraction measurement | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002278/ScoringFiles/PGS002278.txt.gz |
| PGS002279 (GRS22_rLVEF) |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reduced left ventricular ejection fraction | left ventricular ejection fraction measurement | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002279/ScoringFiles/PGS002279.txt.gz |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000155 | PGS000061 (GRS_LDL) |
PSS000098| European Ancestry| 2,063 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | β: 15.0 | — | Beta (p-value): 0.0352 | age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000156 | PGS000061 (GRS_LDL) |
PSS000097| East Asian Ancestry| 666 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | β: 5.58 | — | Beta (p-value): 0.697 | age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000157 | PGS000061 (GRS_LDL) |
PSS000096| African Ancestry| 1,355 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | β: 30.04 | — | Beta (p-value): 0.00282 | age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000158 | PGS000061 (GRS_LDL) |
PSS000099| Hispanic or Latin American Ancestry| 1,256 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | β: 42.86 | — | Beta (p-value): 2e-05 | age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000168 | PGS000065 (GLGC2017_LDL) |
PSS000104| European Ancestry| 9,962 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | — | — | correlation (r): 0.274 [0.254, 0.294] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000171 | PGS000065 (GLGC2017_LDL) |
PSS000102| European Ancestry| 1,641 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | — | — | correlation (r): 0.229 [0.172, 0.286] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000174 | PGS000065 (GLGC2017_LDL) |
PSS000103| European Ancestry| 1,945 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | — | — | correlation (r): 0.29 [0.231, 0.349] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000177 | PGS000065 (GLGC2017_LDL) |
PSS000100| African Ancestry| 6,407 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | — | — | correlation (r): 0.28 [0.257, 0.304] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000180 | PGS000065 (GLGC2017_LDL) |
PSS000101| East Asian Ancestry| 21,295 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum low-density lipoprotein (LDL) levels | — | — | correlation (r): 0.198 [0.161, 0.235] | age, sex, region, 20 PCs of genetic ancestry | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000264 | PGS000115 (LDL-C_20) |
PSS000184| European Ancestry| 439,871 individuals |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels | β: 28.01 (0.18) | — | R²: 0.09 | age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch) | — |
| PPM000265 | PGS000115 (LDL-C_20) |
PSS000183| East Asian Ancestry| 10,640 individuals |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels | β: 21.73 (1.25) | — | R²: 0.06 | age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch) | — |
| PPM000266 | PGS000115 (LDL-C_20) |
PSS000181| African Ancestry| 4,680 individuals |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels | β: 17.4 (1.91) | — | R²: 0.04 | age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch) | — |
| PPM000267 | PGS000115 (LDL-C_20) |
PSS000185| Multi-ancestry (including European)| 455,191 individuals |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels | β: 27.78 (0.18) | — | R²: 0.09 | age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch) | — |
| PPM000268 | PGS000115 (LDL-C_20) |
PSS000182| Multi-ancestry (including European)| 47,845 individuals |
PGP000053 | Trinder M et al. JAMA Cardiol (2020) |
Reported Trait: Cardiovascular disease events | — | — | Hazard Ratio (HR; top vs. bottom decile of risk): 1.35 [1.3, 1.4] | age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch) | — |
| PPM012859 | PGS000115 (LDL-C_20) |
PSS009580| European Ancestry| 33,787 individuals |
PGP000284 | Tapela NM et al. Eur J Prev Cardiol (2021) |Ext. |
Reported Trait: Uncontrolled hypercholesterolaemia | — | — | Odds Ratio (OR, top vs. bottom quintile): 2.78 [2.58, 3.0] | age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline | 218 SNPs remained after QC |
| PPM012860 | PGS000115 (LDL-C_20) |
PSS009577| European Ancestry| 33,787 individuals |
PGP000284 | Tapela NM et al. Eur J Prev Cardiol (2021) |Ext. |
Reported Trait: Incident major adverse cardiovascular events in statin treatment | — | — | Hazard Ratio (HR, top vs. bottom quintile): 1.03 [0.92, 1.14] | age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline | 218 SNPs remained after QC |
| PPM012861 | PGS000115 (LDL-C_20) |
PSS009578| European Ancestry| 33,787 individuals |
PGP000284 | Tapela NM et al. Eur J Prev Cardiol (2021) |Ext. |
Reported Trait: Incident myocardial infarction in statin treatment | — | — | Hazard Ratio (HR, top vs. bottom quintile): 1.08 [0.95, 1.23] | age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline | 218 SNPs remained after QC |
| PPM012862 | PGS000115 (LDL-C_20) |
PSS009579| European Ancestry| 33,787 individuals |
PGP000284 | Tapela NM et al. Eur J Prev Cardiol (2021) |Ext. |
Reported Trait: Incident stroke in statin treatment | — | — | Hazard Ratio (HR, top vs. bottom quintile): 0.93 [0.77, 1.12] | age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline | 218 SNPs remained after QC |
| PPM000563 | PGS000192 (GS9) |
PSS000292| European Ancestry| 4,232 individuals |
PGP000079 | Kathiresan S et al. N Engl J Med (2008) |
Reported Trait: Incident cardiovascular event | — | AUROC: 0.8 | Hazard Ratio (HR; per allele): 1.15 [1.07, 1.24] | age, sex, family history of MI, LDL cholesterol, HDL cholesterol, triglycerides, blood pressure, body mass index, diabetes status, smoking status, CRP, lipid lowering medication | — |
| PPM000562 | PGS000192 (GS9) |
PSS000292| European Ancestry| 4,232 individuals |
PGP000079 | Kathiresan S et al. N Engl J Med (2008) |
Reported Trait: High-density lipoprotein (HDL) levels | — | — | Association p-value: 2.00e-18 | — | — |
| PPM000561 | PGS000192 (GS9) |
PSS000292| European Ancestry| 4,232 individuals |
PGP000079 | Kathiresan S et al. N Engl J Med (2008) |
Reported Trait: Low-density lipoprotein (LDL) levels | — | — | Association p-value: 3.00e-24 | — | — |
| PPM000769 | PGS000300 (GRS80_HR) |
PSS000374| European Ancestry| 1,318 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Heart rate (bpm) | — | — | R²: 0.0211 | Sex, age, age^2, BMI | — |
| PPM000770 | PGS000300 (GRS80_HR) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Heart rate (bpm) | — | — | R²: 0.0146 | Sex, age, age^2, BMI | — |
| PPM000799 | PGS000300 (GRS80_HR) |
PSS000369| European Ancestry| 334 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Heart rate (bpm) | — | — | R²: 0.0028 | Sex, age, age^2, BMI | — |
| PPM000800 | PGS000300 (GRS80_HR) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Heart rate (bpm) | — | — | R²: 0.0223 | Sex, age, age^2, BMI | — |
| PPM000780 | PGS000310 (GRS194_LDL) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Low-density lipoprotein (mmol/l) | — | — | R²: 0.1849 | Sex, age, age^2 | — |
| PPM000924 | PGS000340 (LDL-Cpsp) |
PSS000466| European Ancestry| 389,127 individuals |
PGP000107 | Trinder M et al. Circ Genom Precis Med (2020) |
Reported Trait: Low-density lipoprotein cholesterol levels | β: 0.82 (0.006) | — | R²: 0.074 | Age, sex | — |
| PPM000923 | PGS000340 (LDL-Cpsp) |
PSS000465| Multi-ancestry (including European)| 1,120 individuals |
PGP000107 | Trinder M et al. Circ Genom Precis Med (2020) |
Reported Trait: Low-density lipoprotein cholesterol levels in familial hypercholesterolemia mutation carriers | — | — | Beta (per 20% increase in PGS): 0.13 [0.072, 0.19] | — | — |
| PPM000925 | PGS000340 (LDL-Cpsp) |
PSS000465| Multi-ancestry (including European)| 1,120 individuals |
PGP000107 | Trinder M et al. Circ Genom Precis Med (2020) |
Reported Trait: Atherosclerotic cardiovascular disease in familial hypercholesterolemia mutation carriers | — | — | Odds Ratio (OR; top 20% vs. rest): 1.48 [1.02, 2.14] | sex | — |
| PPM001361 | PGS000661 (PRS-LDL) |
PSS000588| East Asian Ancestry| 426 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: LDL choldesterol at baseline (log transformed) | β: 0.072 (0.012) | — | Pearson Correlation Coefficient (r): 0.255 Incremental R² (PRS and covariates vs. covariates-alone): 0.0672 |
age, sex, BMI, PCs | — |
| PPM001362 | PGS000661 (PRS-LDL) |
PSS000594| East Asian Ancestry| 4,917 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: LDL choldesterol at baseline (log transformed) | β: 0.059 (0.004) | — | Pearson Correlation Coefficient (r): 0.178 Incremental R² (PRS and covariates vs. covariates-alone): 0.0351 |
age, sex, BMI, PCs | — |
| PPM001363 | PGS000661 (PRS-LDL) |
PSS000590| East Asian Ancestry| 1,941 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: LDL choldesterol at baseline (log transformed) | β: 0.054 (0.006) | — | Pearson Correlation Coefficient (r): 0.19 Incremental R² (PRS and covariates vs. covariates-alone): 0.036 |
age, sex, BMI, PCs | — |
| PPM001364 | PGS000661 (PRS-LDL) |
PSS000592| East Asian Ancestry| 865 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: LDL choldesterol at baseline (log transformed) | β: 0.058 (0.01) | — | Pearson Correlation Coefficient (r): 0.195 Incremental R² (PRS and covariates vs. covariates-alone): 0.0374 |
age, sex, BMI, PCs | — |
| PPM001399 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000637| African Ancestry| 5,550 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | R²: 0.1486 Spearman's ρ: 0.213 |
Age, sex, PCs(1-40) | — |
| PPM001434 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000638| East Asian Ancestry| 974 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | R²: 0.32046 Spearman's ρ: 0.329 |
Age, sex, PCs(1-40) | — |
| PPM001469 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000639| European Ancestry| 21,403 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | R²: 0.31504 Spearman's ρ: 0.385 |
Age, sex, PCs(1-40) | — |
| PPM001504 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000640| South Asian Ancestry| 6,682 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | R²: 0.29281 Spearman's ρ: 0.358 |
Age, sex, PCs(1-40) | — |
| PPM001539 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000641| European Ancestry| 57,932 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | R²: 0.30509 Spearman's ρ: 0.398 |
Age, sex, PCs(1-40) | — |
| PPM001580 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS000795| European Ancestry| 1,378 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Apolipoprotein A [g/L] | — | — | Spearman's ρ: 0.241 | Age, sex | — |
| PPM007280 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS007086| African Ancestry| 5,632 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Apolipoprotein A | — | — | R²: 0.14722 [0.13131, 0.16312] Incremental R2 (full-covars): 0.04255 PGS R2 (no covariates): 0.03865 [0.02947, 0.04784] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007281 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS007087| East Asian Ancestry| 1,462 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Apolipoprotein A | — | — | R²: 0.28691 [0.25071, 0.3231] Incremental R2 (full-covars): 0.07041 PGS R2 (no covariates): 0.08155 [0.0567, 0.10641] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007282 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS007088| European Ancestry| 21,609 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Apolipoprotein A | — | — | R²: 0.28381 [0.27434, 0.29329] Incremental R2 (full-covars): 0.11215 PGS R2 (no covariates): 0.12323 [0.11558, 0.13087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007283 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS007089| South Asian Ancestry| 6,776 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Apolipoprotein A | — | — | R²: 0.26533 [0.24858, 0.28209] Incremental R2 (full-covars): 0.1056 PGS R2 (no covariates): 0.11603 [0.1027, 0.12937] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007284 | PGS000671 (snpnet.Apolipoprotein_A) |
PSS007090| European Ancestry| 58,749 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Apolipoprotein A | — | — | R²: 0.27548 [0.26974, 0.28122] Incremental R2 (full-covars): 0.12135 PGS R2 (no covariates): 0.1349 [0.1301, 0.13969] |
age, sex, UKB array type, Genotype PCs | — |
| PPM001416 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000714| African Ancestry| 6,003 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | R²: 0.13357 Spearman's ρ: 0.289 |
Age, sex, PCs(1-40) | — |
| PPM001451 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000715| East Asian Ancestry| 1,082 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | R²: 0.13985 Spearman's ρ: 0.301 |
Age, sex, PCs(1-40) | — |
| PPM001486 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000716| European Ancestry| 23,535 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | R²: 0.26408 Spearman's ρ: 0.436 |
Age, sex, PCs(1-40) | — |
| PPM001521 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000717| South Asian Ancestry| 7,319 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | R²: 0.11217 Spearman's ρ: 0.289 |
Age, sex, PCs(1-40) | — |
| PPM001556 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000718| European Ancestry| 63,675 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | R²: 0.26409 Spearman's ρ: 0.446 |
Age, sex, PCs(1-40) | — |
| PPM001575 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000824| European Ancestry| 2,097 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | Spearman's ρ: 0.159 | Age, sex | — |
| PPM001576 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS000825| European Ancestry| 1,987 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) | — | — | Spearman's ρ: 0.138 | Age, sex | — |
| PPM007365 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS007171| African Ancestry| 6,086 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: LDL cholesterol | — | — | R²: 0.05912 [0.048, 0.07024] Incremental R2 (full-covars): 0.05479 PGS R2 (no covariates): 0.06663 [0.05492, 0.07834] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007366 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS007172| East Asian Ancestry| 1,615 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: LDL cholesterol | — | — | R²: 0.06107 [0.03908, 0.08305] Incremental R2 (full-covars): 0.0498 PGS R2 (no covariates): 0.07486 [0.05087, 0.09885] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007367 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS007173| European Ancestry| 23,728 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: LDL cholesterol | — | — | R²: 0.10564 [0.09842, 0.11286] Incremental R2 (full-covars): 0.096 PGS R2 (no covariates): 0.11974 [0.11218, 0.12731] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007368 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS007174| South Asian Ancestry| 7,407 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: LDL cholesterol | — | — | R²: 0.05634 [0.04642, 0.06625] Incremental R2 (full-covars): 0.02423 PGS R2 (no covariates): 0.03502 [0.02702, 0.04301] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007369 | PGS000688 (snpnet.LDL_direct_adjstatins) |
PSS007175| European Ancestry| 64,356 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: LDL cholesterol | — | — | R²: 0.09533 [0.09111, 0.09955] Incremental R2 (full-covars): 0.08543 PGS R2 (no covariates): 0.10869 [0.10426, 0.11313] |
age, sex, UKB array type, Genotype PCs | — |
| PPM001759 | PGS000735 (PRS_PR) |
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: 1.017 [1.013, 1.022] | — | — | — | — |
| PPM001754 | PGS000735 (PRS_PR) |
PSS000904| European Ancestry| 1,257 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: PR slope | β: 0.22 (0.08) | — | — | — | — |
| PPM001750 | PGS000735 (PRS_PR) |
PSS000906| European Ancestry| 1,193 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: Baseline PR in non SCN5A mutation carriers | — | — | Correlation coefficent (r): 0.23 | — | — |
| PPM001752 | PGS000735 (PRS_PR) |
PSS000906| European Ancestry| 1,193 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: PR slope in non SCN5A mutation carriers | β: 0.16 (0.08) | — | Correlation coefficient (r): 0.09 | — | — |
| PPM001760 | PGS000736 (PRS_QRS) |
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: 1.047 [1.031, 1.063] | — | — | — | — |
| PPM001753 | PGS000736 (PRS_QRS) |
PSS000906| European Ancestry| 1,193 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: QRS slope in non SCN5A mutation carriers | β: 0.93 (0.2) | — | Correlation coefficient (r): 0.14 | — | — |
| PPM001751 | PGS000736 (PRS_QRS) |
PSS000906| European Ancestry| 1,193 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: Baseline QRS in non SCN5A mutation carriers | — | — | Correlation coefficent (r): 0.15 | — | — |
| PPM001755 | PGS000736 (PRS_QRS) |
PSS000904| European Ancestry| 1,257 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: QRS slope | β: 0.8 (0.22) | — | — | — | — |
| PPM001756 | PGS000736 (PRS_QRS) |
PSS000903| European Ancestry| 295 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: QRS slope | β: 0.8 (0.22) | — | — | Age, SCN5A mutation | — |
| PPM001978 | PGS000768 (PRS_QT) |
PSS000987| European Ancestry| 9,457 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene | β: 0.733 (0.09) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 5.0 [2.73, 9.17] | PCs (1-10) | — |
| PPM001976 | PGS000768 (PRS_QT) |
PSS000987| European Ancestry| 9,457 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome | β: 0.322 (0.03) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.27 [1.9, 2.7] | PCs (1-10) | — |
| PPM001977 | PGS000768 (PRS_QT) |
PSS000987| European Ancestry| 9,457 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene | β: 0.277 (0.032) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.09 [1.74, 2.51] | PCs (1-10) | — |
| PPM001979 | PGS000768 (PRS_QT) |
PSS000988| East Asian Ancestry| 2,089 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome | β: 0.412 (0.055) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.9 [2.09, 4.04] | PCs (1-10) | Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM001980 | PGS000768 (PRS_QT) |
PSS000988| East Asian Ancestry| 2,089 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene | β: 0.384 (0.058) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.41 [1.71, 3.4] | PCs (1-10) | Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM001981 | PGS000768 (PRS_QT) |
PSS000988| East Asian Ancestry| 2,089 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene | β: 0.74 (0.129) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 12.6 [3.28, 41.67] | PCs (1-10) | Only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM001982 | PGS000768 (PRS_QT) |
PSS000989| Multi-ancestry (including European)| 11,546 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome | β: 0.343 (0.0263) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.52 [2.16, 2.94] | PCs (1-10) | For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM001983 | PGS000768 (PRS_QT) |
PSS000989| Multi-ancestry (including European)| 11,546 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals with a single rare variant in a major LQTS gene | β: 0.294 (0.028) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 2.23 [1.9, 2.62] | PCs (1-10) | For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM001984 | PGS000768 (PRS_QT) |
PSS000989| Multi-ancestry (including European)| 11,546 individuals |
PGP000175 | Lahrouchi N et al. Circulation (2020) |
Reported Trait: Long QT syndrome in individuals without a single rare variant in a major LQTS gene | β: 0.735 (0.0738) | — | Odds Ratio (OR, top 25% vs. bottom 25%): 6.13 [3.57, 10.52] | PCs (1-10) | For Japanese individuals only 60 of the 68 SNP PRS were utilised. rs17457880, rs17460657, rs4656345, rs10040989, rs9920, rs1296720, rs17763769, rs1805128 were not included due to INFO < 0.3 and rs12300631 was used as a proxy for rs3026445. |
| PPM002202 | PGS000814 (GRS12_LDLc) |
PSS001072| Ancestry Not Reported| 967 individuals |
PGP000205 | Rimbert A et al. Arterioscler Thromb Vasc Biol (2020) |Ext. |
Reported Trait: Liver steatosis | — | — | Odds Ratio (OR, polygenic vs monogenic hypobetalipoproteinemia cases): 0.13 [0.1, 1.16] | Age, sex | — |
| PPM002201 | PGS000814 (GRS12_LDLc) |
PSS001072| Ancestry Not Reported| 967 individuals |
PGP000205 | Rimbert A et al. Arterioscler Thromb Vasc Biol (2020) |Ext. |
Reported Trait: Hypobetalipoproteinemia | — | — | Percentage of cases with polygenic etiology (%): 34.0 | — | Polygenic etiology = PRS<10th percentile |
| PPM002170 | PGS000814 (GRS12_LDLc) |
PSS001058| European Ancestry| 3,020 individuals |
PGP000200 | Talmud PJ et al. Lancet (2013) |
Reported Trait: Low-density lipoprotein cholesterol level >4.9mmol/L | — | — | Risk Ratio (RR, top 10% vs bottom 10%): 4.17 [3.01, 5.78] | — | — |
| PPM002171 | PGS000814 (GRS12_LDLc) |
PSS001059| European Ancestry| 3,660 individuals |
PGP000200 | Talmud PJ et al. Lancet (2013) |
Reported Trait: Low-density lipoprotein cholesterol level >4.9mmol/L in individuals who have familial hypercholestrolaemia and no known mutation | — | AUROC: 0.65 [0.62, 0.68] | — | — | — |
| PPM002168 | PGS000814 (GRS12_LDLc) |
PSS001058| European Ancestry| 3,020 individuals |
PGP000200 | Talmud PJ et al. Lancet (2013) |
Reported Trait: Low-density lipoprotein (LDL) cholesterol | β: 0.33 [0.3, 0.37] | — | R²: 0.11 | — | — |
| PPM002169 | PGS000814 (GRS12_LDLc) |
PSS001058| European Ancestry| 3,020 individuals |
PGP000200 | Talmud PJ et al. Lancet (2013) |
Reported Trait: Low-density lipoprotein (LDL) cholesterol | β: 0.34 [0.31, 0.38] | — | — | Sex, age, lipid-lowering drug use, body-mass index, diabetes status, smoking status, blood pressure | — |
| PPM002503 | PGS000814 (GRS12_LDLc) |
PSS001124| European Ancestry| 4,787 individuals |
PGP000221 | Leal LG et al. Mol Genet Genomic Med (2020) |Ext. |
Reported Trait: Low-density lipoprotein cholesterol | — | AUROC: 0.65 | — | — | — |
| PPM012972 | PGS000814 (GRS12_LDLc) |
PSS009637| Ancestry Not Reported| 1,519 individuals |
PGP000311 | Olmastroni E et al. J Am Heart Assoc (2022) |Ext. |
Reported Trait: Polygenic hypercholesterolemia | — | AUROC: 0.59 [0.56, 0.62] | Sensitivity (%, cutoff of 0.905): 78.0 Specificity (%, cutoff of 0.905): 36.0 |
— | — |
| PPM002230 | PGS000824 (LDL-C_PGS) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: Low density lipoprotein cholesterol | — | — | R²: 0.111 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
| PPM002313 | PGS000846 (LDL) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.02 [0.92, 1.13] | — | — | PC1-10 | — |
| PPM002316 | PGS000846 (LDL) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.0 [0.94, 1.07] | — | — | PC1-10 | — |
| PPM002317 | PGS000846 (LDL) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.0] | — | — | PC1-10 | — |
| PPM002315 | PGS000846 (LDL) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.92 [0.86, 0.99] | — | — | PC1-10 | — |
| PPM002314 | PGS000846 (LDL) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.95 [0.89, 1.02] | — | — | PC1-10 | — |
| PPM002500 | PGS000875 (PGS36_LDLc) |
PSS001124| European Ancestry| 4,787 individuals |
PGP000221 | Leal LG et al. Mol Genet Genomic Med (2020) |
Reported Trait: Low-density lipoprotein cholesterol | — | — | R²: 0.08 | Age, gender, body mass index, ancestry differences captured by the first two components from multidimensional scaling | — |
| PPM002501 | PGS000875 (PGS36_LDLc) |
PSS001124| European Ancestry| 4,787 individuals |
PGP000221 | Leal LG et al. Mol Genet Genomic Med (2020) |
Reported Trait: Severe hypercholesterolemia | — | — | Risk Ratio (RR, top 30% vs bottom 30%): 4.8 [2.6, 8.9] | — | — |
| PPM002502 | PGS000875 (PGS36_LDLc) |
PSS001124| European Ancestry| 4,787 individuals |
PGP000221 | Leal LG et al. Mol Genet Genomic Med (2020) |
Reported Trait: Low-density lipoprotein cholesterol | — | AUROC: 0.67 | — | — | — |
| PPM002576 | PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS) |
PSS001153| African Ancestry| 1,341 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.064 | sex, batch, PC1-4, and birth year | — |
| PPM002628 | PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS) |
PSS001163| African Ancestry| 6,863 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.112 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002577 | PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS) |
PSS001154| European Ancestry| 17,190 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.056 | sex, batch, PC1-4, and birth year | — |
| PPM002545 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001146| African Ancestry| 3,566 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.125 | age, sex, PC1-3 | — |
| PPM002557 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001149| African Ancestry| 4,972 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.128 | age, sex, PC1-6 | — |
| PPM002560 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001150| African Ancestry| 3,743 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.076 | age, sex, and PC1-4 | — |
| PPM002563 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001151| South Asian Ancestry| 15,242 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Max LDL cholesterol | — | — | R²: 0.069 | age, sex, and PC1-10 | — |
| PPM002568 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.051 | age, sex, and recruitment area | — |
| PPM002574 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001153| African Ancestry| 1,341 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.115 | sex, batch, PC1-4, and birth year | — |
| PPM002575 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001154| European Ancestry| 17,190 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.074 | sex, batch, PC1-4, and birth year | — |
| PPM002584 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.148 | sex, PC1-4, birth year, and mean age | — |
| PPM002585 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.063 | sex, PC1-4, birth year, and mean age | — |
| PPM002587 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.071 | sex, PC1-4, birth year, and mean age | — |
| PPM002616 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001160| African Ancestry| 2,138 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.129 | birth year, sex, and PC1-4 | — |
| PPM002629 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001163| African Ancestry| 6,863 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.175 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002543 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001144| African Ancestry| 4,273 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.118 | age, sex, PC1-3 | — |
| PPM002544 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001145| African Ancestry| 707 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.101 | age, sex, PC1-3 | — |
| PPM002554 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001148| African Ancestry| 1,745 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.085 | age, sex, PC1-6 | — |
| PPM002586 | PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.103 | sex, PC1-4, birth year, and mean age | — |
| PPM002624 | PGS000888 (GLGC_2021_ALL_LDL_PRS_weights_PRS-CS) |
PSS001162| Multi-ancestry (including European)| 461,918 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.175 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002546 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001144| African Ancestry| 4,273 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.114 | age, sex, PC1-3 | — |
| PPM002547 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001145| African Ancestry| 707 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.067 | age, sex, PC1-3 | — |
| PPM002548 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001146| African Ancestry| 3,566 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.123 | age, sex, PC1-3 | — |
| PPM002552 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001147| African Ancestry| 10,460 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.173 | age, sex, PC1-6 | — |
| PPM002555 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001148| African Ancestry| 1,745 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.069 | age, sex, PC1-6 | — |
| PPM002558 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001149| African Ancestry| 4,972 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.108 | age, sex, PC1-6 | — |
| PPM002561 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001150| African Ancestry| 3,743 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.075 | age, sex, and PC1-4 | — |
| PPM002569 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.095 | age, sex, and recruitment area | — |
| PPM002578 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001153| African Ancestry| 1,341 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.122 | sex, batch, PC1-4, and birth year | — |
| PPM002579 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001154| European Ancestry| 17,190 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.13 | sex, batch, PC1-4, and birth year | — |
| PPM002588 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.162 | sex, PC1-4, birth year, and mean age | — |
| PPM002589 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.1 | sex, PC1-4, birth year, and mean age | — |
| PPM002590 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.158 | sex, PC1-4, birth year, and mean age | — |
| PPM002591 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.134 | sex, PC1-4, birth year, and mean age | — |
| PPM002617 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001160| African Ancestry| 2,138 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.132 | birth year, sex, and PC1-4 | — |
| PPM002625 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001162| Multi-ancestry (including European)| 461,918 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.182 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002564 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001151| South Asian Ancestry| 15,242 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Max LDL cholesterol | — | — | R²: 0.105 | age, sex, and PC1-10 | — |
| PPM002619 | PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT) |
PSS001161| East Asian Ancestry| 28,217 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.098 | sex, age, recruitment method, and PC1-20 | — |
| PPM002571 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.094 | age, sex, and recruitment area | — |
| PPM002596 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.041 | sex, PC1-4, birth year, and mean age | — |
| PPM002598 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.083 | sex, PC1-4, birth year, and mean age | — |
| PPM002599 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.063 | sex, PC1-4, birth year, and mean age | — |
| PPM002620 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001161| East Asian Ancestry| 28,217 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.094 | sex, age, recruitment method, and PC1-20 | — |
| PPM002626 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001164| East Asian Ancestry| 1,441 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.113 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002597 | PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.09 | sex, PC1-4, birth year, and mean age | — |
| PPM002570 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.098 | age, sex, and recruitment area | — |
| PPM002592 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.056 | sex, PC1-4, birth year, and mean age | — |
| PPM002593 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.098 | sex, PC1-4, birth year, and mean age | — |
| PPM002594 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.083 | sex, PC1-4, birth year, and mean age | — |
| PPM002595 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.057 | sex, PC1-4, birth year, and mean age | — |
| PPM002627 | PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT) |
PSS001164| East Asian Ancestry| 1,441 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.1 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002549 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001144| African Ancestry| 4,273 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.052 | age, sex, PC1-3 | — |
| PPM002550 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001145| African Ancestry| 707 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.063 | age, sex, PC1-3 | — |
| PPM002551 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001146| African Ancestry| 3,566 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.055 | age, sex, PC1-3 | — |
| PPM002553 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001147| African Ancestry| 10,460 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.122 | age, sex, PC1-6 | — |
| PPM002556 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001148| African Ancestry| 1,745 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.041 | age, sex, PC1-6 | — |
| PPM002559 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001149| African Ancestry| 4,972 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.04 | age, sex, PC1-6 | — |
| PPM002562 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001150| African Ancestry| 3,743 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.022 | age, sex, and PC1-4 | — |
| PPM002566 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001151| South Asian Ancestry| 15,242 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Max LDL cholesterol | — | — | R²: 0.088 | age, sex, and PC1-10 | — |
| PPM002573 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.064 | age, sex, and recruitment area | — |
| PPM002582 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001153| African Ancestry| 1,341 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.062 | sex, batch, PC1-4, and birth year | — |
| PPM002583 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001154| European Ancestry| 17,190 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.129 | sex, batch, PC1-4, and birth year | — |
| PPM002604 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.04 | sex, PC1-4, birth year, and mean age | — |
| PPM002605 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.067 | sex, PC1-4, birth year, and mean age | — |
| PPM002606 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.153 | sex, PC1-4, birth year, and mean age | — |
| PPM002607 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.114 | sex, PC1-4, birth year, and mean age | — |
| PPM002618 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001160| African Ancestry| 2,138 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.069 | birth year, sex, and PC1-4 | — |
| PPM002621 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001161| East Asian Ancestry| 28,217 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.074 | sex, age, recruitment method, and PC1-20 | — |
| PPM002622 | PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS) |
PSS001165| European Ancestry| 389,158 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.182 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002565 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001151| South Asian Ancestry| 15,242 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Max LDL cholesterol | — | — | R²: 0.096 | age, sex, and PC1-10 | — |
| PPM002580 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001153| African Ancestry| 1,341 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.058 | sex, batch, PC1-4, and birth year | — |
| PPM002581 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001154| European Ancestry| 17,190 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.123 | sex, batch, PC1-4, and birth year | — |
| PPM002600 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.042 | sex, PC1-4, birth year, and mean age | — |
| PPM002601 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.066 | sex, PC1-4, birth year, and mean age | — |
| PPM002602 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.152 | sex, PC1-4, birth year, and mean age | — |
| PPM002603 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.106 | sex, PC1-4, birth year, and mean age | — |
| PPM002623 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001165| European Ancestry| 389,158 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.176 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002572 | PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT) |
PSS001152| East Asian Ancestry| 118,260 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.071 | age, sex, and recruitment area | — |
| PPM002632 | PGS000894 (GLGC_2021_HIS_LDL_PRS_weights_PRS-CS) |
PSS001155| Hispanic or Latin American Ancestry| 360 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.023 | sex, batch, PC1-4, and birth year | — |
| PPM002609 | PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.079 | sex, PC1-4, birth year, and mean age | — |
| PPM002610 | PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.119 | sex, PC1-4, birth year, and mean age | — |
| PPM002611 | PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.102 | sex, PC1-4, birth year, and mean age | — |
| PPM002633 | PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PSS001155| Hispanic or Latin American Ancestry| 360 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.088 | sex, batch, PC1-4, and birth year | — |
| PPM002608 | PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.1 | sex, PC1-4, birth year, and mean age | — |
| PPM002630 | PGS000896 (GLGC_2021_SAS_LDL_PRS_weights_PRS-CS) |
PSS001166| South Asian Ancestry| 6,814 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.04 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002567 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001151| South Asian Ancestry| 15,242 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Max LDL cholesterol | — | — | R²: 0.077 | age, sex, and PC1-10 | — |
| PPM002612 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001156| African Ancestry| 18,251 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.076 | sex, PC1-4, birth year, and mean age | — |
| PPM002613 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001157| Additional Asian Ancestries| 4,155 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.067 | sex, PC1-4, birth year, and mean age | — |
| PPM002614 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001158| European Ancestry| 68,381 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.101 | sex, PC1-4, birth year, and mean age | — |
| PPM002615 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001159| Hispanic or Latin American Ancestry| 7,669 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Mean LDL cholesterol | — | — | R²: 0.069 | sex, PC1-4, birth year, and mean age | — |
| PPM002631 | PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT) |
PSS001166| South Asian Ancestry| 6,814 individuals |
PGP000230 | Graham SE et al. Nature (2021) |
Reported Trait: Baseline LDL cholesterol | — | — | R²: 0.058 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM002666 | PGS000904 (PRS582_PR) |
PSS001175| European Ancestry| 309,269 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Atrial fibrillation | OR: 0.95 β: -0.047 (0.009) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002667 | PGS000904 (PRS582_PR) |
PSS001178| European Ancestry| 290,252 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Distal conduction disease | OR: 1.11 β: 0.103 (0.019) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002668 | PGS000904 (PRS582_PR) |
PSS001176| European Ancestry| 309,041 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Atrioventricular preexcitation | OR: 0.85 β: -0.168 (0.057) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002669 | PGS000904 (PRS582_PR) |
PSS001179| European Ancestry| 309,241 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Implantable cardioverter defibrillator | OR: 1.09 β: 0.086 (0.04) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002670 | PGS000904 (PRS582_PR) |
PSS001180| European Ancestry| 309,246 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Mitral valve prolapse | OR: 1.1 β: 0.093 (0.044) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002671 | PGS000904 (PRS582_PR) |
PSS001181| European Ancestry| 305,471 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Non-ischemic cardiomyopathy | OR: 0.95 β: -0.051 (0.024) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002672 | PGS000904 (PRS582_PR) |
PSS001182| European Ancestry| 309,270 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Pacemaker | OR: 1.06 β: 0.062 (0.016) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002673 | PGS000904 (PRS582_PR) |
PSS001183| European Ancestry| 309,255 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Valve disease | OR: 1.03 β: 0.03 (0.013) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | Only 581 SNPs from the 582 SNP PRS were utilised. 1 SNP was not included due to low imputation quality. |
| PPM002674 | PGS000905 (PRS743_PR) |
PSS001175| European Ancestry| 309,269 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Atrial fibrillation | OR: 0.94 β: -0.058 (0.009) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | — |
| PPM002675 | PGS000905 (PRS743_PR) |
PSS001178| European Ancestry| 290,252 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Distal conduction disease | β: 0.105 (0.019) OR: 1.11 |
— | — | Baseline age, sex, genotyping array, trait-related principal components | — |
| PPM002676 | PGS000905 (PRS743_PR) |
PSS001176| European Ancestry| 309,041 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Atrioventricular preexcitation | OR: 0.83 β: -0.191 (0.057) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | — |
| PPM002677 | PGS000905 (PRS743_PR) |
PSS001177| European Ancestry| 309,246 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Coronary artery disease | OR: 0.99 β: -0.014 (0.007) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | — |
| PPM002678 | PGS000905 (PRS743_PR) |
PSS001182| European Ancestry| 309,270 individuals |
PGP000236 | Ntalla I et al. Nat Commun (2020) |
Reported Trait: Pacemaker | OR: 1.06 β: 0.056 (0.016) |
— | — | Baseline age, sex, genotyping array, trait-related principal components | — |
| PPM008674 | PGS001233 (GBE_INI102) |
PSS004781| African Ancestry| 6,409 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (AR) | — | — | R²: 0.02255 [0.01542, 0.02969] Incremental R2 (full-covars): 0.0174 PGS R2 (no covariates): 0.01806 [0.01165, 0.02447] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008675 | PGS001233 (GBE_INI102) |
PSS004782| East Asian Ancestry| 1,634 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (AR) | — | — | R²: 0.06312 [0.04082, 0.08543] Incremental R2 (full-covars): 0.04857 PGS R2 (no covariates): 0.05506 [0.03405, 0.07607] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008676 | PGS001233 (GBE_INI102) |
PSS004783| European Ancestry| 23,727 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (AR) | — | — | R²: 0.06698 [0.06098, 0.07297] Incremental R2 (full-covars): 0.06128 PGS R2 (no covariates): 0.06178 [0.05599, 0.06757] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008677 | PGS001233 (GBE_INI102) |
PSS004784| South Asian Ancestry| 7,640 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (AR) | — | — | R²: 0.05587 [0.04599, 0.06575] Incremental R2 (full-covars): 0.04337 PGS R2 (no covariates): 0.04305 [0.03426, 0.05184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008678 | PGS001233 (GBE_INI102) |
PSS004785| European Ancestry| 63,825 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (AR) | — | — | R²: 0.07415 [0.07034, 0.07795] Incremental R2 (full-covars): 0.06338 PGS R2 (no covariates): 0.06346 [0.0599, 0.06702] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005325 | PGS001375 (GBE_INI22426) |
PSS004996| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ave. heart rate | — | — | R²: 0.06508 [0.05349, 0.07667] Incremental R2 (full-covars): 0.00545 PGS R2 (no covariates): 0.00196 [-0.00019, 0.00411] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005326 | PGS001375 (GBE_INI22426) |
PSS004997| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ave. heart rate | — | — | R²: 0.10436 [0.07694, 0.13177] Incremental R2 (full-covars): -0.00244 PGS R2 (no covariates): 0.00402 [-0.00196, 0.01001] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005327 | PGS001375 (GBE_INI22426) |
PSS004998| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ave. heart rate | — | — | R²: 0.02859 [0.02451, 0.03267] Incremental R2 (full-covars): 0.00535 PGS R2 (no covariates): 0.0045 [0.00284, 0.00616] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005328 | PGS001375 (GBE_INI22426) |
PSS004999| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ave. heart rate | — | — | R²: 0.05234 [0.04274, 0.06194] Incremental R2 (full-covars): 0.00014 PGS R2 (no covariates): 0.00114 [-0.00035, 0.00263] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005329 | PGS001375 (GBE_INI22426) |
PSS005000| European Ancestry| 5,528 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ave. heart rate | — | — | R²: 0.01988 [0.01779, 0.02196] Incremental R2 (full-covars): 0.00417 PGS R2 (no covariates): 0.00374 [0.00282, 0.00466] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005315 | PGS001412 (GBE_INI22420) |
PSS004986| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.07902 [0.06643, 0.0916] Incremental R2 (full-covars): 0.0065 PGS R2 (no covariates): 0.00921 [0.00459, 0.01383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005316 | PGS001412 (GBE_INI22420) |
PSS004987| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.21638 [0.18183, 0.25092] Incremental R2 (full-covars): 0.00243 PGS R2 (no covariates): 0.0051 [-0.00163, 0.01183] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005317 | PGS001412 (GBE_INI22420) |
PSS004988| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.07182 [0.06564, 0.07799] Incremental R2 (full-covars): 0.0014 PGS R2 (no covariates): 0.00189 [0.00081, 0.00297] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005318 | PGS001412 (GBE_INI22420) |
PSS004989| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.06719 [0.05648, 0.07789] Incremental R2 (full-covars): 0.00348 PGS R2 (no covariates): 0.00252 [0.00031, 0.00474] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005319 | PGS001412 (GBE_INI22420) |
PSS004990| European Ancestry| 5,528 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.04862 [0.04545, 0.05179] Incremental R2 (full-covars): 0.00384 PGS R2 (no covariates): 0.00375 [0.00283, 0.00468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005320 | PGS001413 (GBE_INI22423) |
PSS004991| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.2894 [0.27082, 0.30798] Incremental R2 (full-covars): 0.00042 PGS R2 (no covariates): 2e-05 [-0.00021, 0.00026] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005321 | PGS001413 (GBE_INI22423) |
PSS004992| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.24626 [0.21082, 0.28171] Incremental R2 (full-covars): 0.00076 PGS R2 (no covariates): 0.00073 [-0.00183, 0.00328] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005322 | PGS001413 (GBE_INI22423) |
PSS004993| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.27363 [0.26419, 0.28306] Incremental R2 (full-covars): -0.00044 PGS R2 (no covariates): 8e-05 [-0.00014, 0.00031] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005323 | PGS001413 (GBE_INI22423) |
PSS004994| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.21177 [0.19571, 0.22783] Incremental R2 (full-covars): -0.00201 PGS R2 (no covariates): 0.00017 [-0.00041, 0.00074] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005324 | PGS001413 (GBE_INI22423) |
PSS004995| European Ancestry| 5,528 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.20777 [0.20231, 0.21322] Incremental R2 (full-covars): 0.00246 PGS R2 (no covariates): 0.00431 [0.00333, 0.0053] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007125 | PGS001519 (GBE_INI4199) |
PSS007341| African Ancestry| 3,863 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of pulse wave notch | — | — | R²: 0.02994 [0.02178, 0.0381] Incremental R2 (full-covars): 0.00194 PGS R2 (no covariates): 0.00226 [-0.00004, 0.00457] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007126 | PGS001519 (GBE_INI4199) |
PSS007342| East Asian Ancestry| 807 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of pulse wave notch | — | — | R²: 0.02934 [0.01358, 0.04509] Incremental R2 (full-covars): 0.0026 PGS R2 (no covariates): 0.00283 [-0.0022, 0.00785] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007127 | PGS001519 (GBE_INI4199) |
PSS007343| European Ancestry| 11,021 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of pulse wave notch | — | — | R²: 0.02545 [0.02159, 0.02931] Incremental R2 (full-covars): 0.00502 PGS R2 (no covariates): 0.00515 [0.00337, 0.00692] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007128 | PGS001519 (GBE_INI4199) |
PSS007344| South Asian Ancestry| 5,226 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of pulse wave notch | — | — | R²: 0.04794 [0.03871, 0.05717] Incremental R2 (full-covars): 0.00501 PGS R2 (no covariates): 0.0043 [0.00141, 0.00719] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007129 | PGS001519 (GBE_INI4199) |
PSS007345| European Ancestry| 26,777 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of pulse wave notch | — | — | R²: 0.03558 [0.03284, 0.03833] Incremental R2 (full-covars): 0.00809 PGS R2 (no covariates): 0.00826 [0.0069, 0.00962] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007120 | PGS001520 (GBE_INI4198) |
PSS007336| African Ancestry| 3,863 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of the pulse wave peak | — | — | R²: 0.05763 [0.04663, 0.06862] Incremental R2 (full-covars): -0.00367 PGS R2 (no covariates): 3e-05 [-0.00023, 0.00029] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007121 | PGS001520 (GBE_INI4198) |
PSS007337| East Asian Ancestry| 807 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of the pulse wave peak | — | — | R²: 0.0542 [0.03334, 0.07507] Incremental R2 (full-covars): -0.00065 PGS R2 (no covariates): 0.00041 [-0.0015, 0.00231] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007122 | PGS001520 (GBE_INI4198) |
PSS007338| European Ancestry| 11,021 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of the pulse wave peak | — | — | R²: 0.09762 [0.09061, 0.10462] Incremental R2 (full-covars): 0.00071 PGS R2 (no covariates): 0.00137 [0.00045, 0.00229] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007123 | PGS001520 (GBE_INI4198) |
PSS007339| South Asian Ancestry| 5,226 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of the pulse wave peak | — | — | R²: 0.03074 [0.02321, 0.03826] Incremental R2 (full-covars): 0.0 PGS R2 (no covariates): 0.00076 [-0.00046, 0.00198] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007124 | PGS001520 (GBE_INI4198) |
PSS007340| European Ancestry| 26,777 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Position of the pulse wave peak | — | — | R²: 0.07148 [0.06773, 0.07522] Incremental R2 (full-covars): 0.00342 PGS R2 (no covariates): 0.00338 [0.00251, 0.00426] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005303 | PGS001521 (GBE_INI22330) |
PSS004969| South Asian Ancestry| 193 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 0.13589 [0.12179, 0.15] Incremental R2 (full-covars): -0.01928 PGS R2 (no covariates): 0.00031 [-0.00047, 0.00108] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005300 | PGS001521 (GBE_INI22330) |
PSS004966| African Ancestry| 120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 0.14397 [0.12818, 0.15975] Incremental R2 (full-covars): 0.00024 PGS R2 (no covariates): 0.01367 [0.00807, 0.01928] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005301 | PGS001521 (GBE_INI22330) |
PSS004967| East Asian Ancestry| 68 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 0.2664 [0.23052, 0.30228] Incremental R2 (full-covars): -0.00945 PGS R2 (no covariates): 0.00783 [-0.00049, 0.01615] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005302 | PGS001521 (GBE_INI22330) |
PSS004968| European Ancestry| 834 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 0.10209 [0.09497, 0.10922] Incremental R2 (full-covars): 0.04534 PGS R2 (no covariates): 0.05149 [0.04615, 0.05684] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005304 | PGS001521 (GBE_INI22330) |
PSS004970| European Ancestry| 3,353 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PQ interval | — | — | R²: 0.07982 [0.0759, 0.08375] Incremental R2 (full-covars): 0.02363 PGS R2 (no covariates): 0.02488 [0.02256, 0.0272] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007115 | PGS001523 (GBE_INI4194) |
PSS007331| African Ancestry| 3,863 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate | — | — | R²: 0.01921 [0.0126, 0.02582] Incremental R2 (full-covars): 0.01159 PGS R2 (no covariates): 0.01226 [0.00694, 0.01757] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007116 | PGS001523 (GBE_INI4194) |
PSS007332| East Asian Ancestry| 807 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate | — | — | R²: 0.0379 [0.02015, 0.05565] Incremental R2 (full-covars): 0.02204 PGS R2 (no covariates): 0.02422 [0.00983, 0.03861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007117 | PGS001523 (GBE_INI4194) |
PSS007333| European Ancestry| 11,021 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate | — | — | R²: 0.03431 [0.02987, 0.03876] Incremental R2 (full-covars): 0.03005 PGS R2 (no covariates): 0.03012 [0.02594, 0.03431] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007118 | PGS001523 (GBE_INI4194) |
PSS007334| South Asian Ancestry| 5,226 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate | — | — | R²: 0.04886 [0.03955, 0.05817] Incremental R2 (full-covars): 0.0265 PGS R2 (no covariates): 0.02722 [0.02012, 0.03433] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007119 | PGS001523 (GBE_INI4194) |
PSS007335| European Ancestry| 26,777 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate | — | — | R²: 0.04573 [0.04265, 0.04881] Incremental R2 (full-covars): 0.03275 PGS R2 (no covariates): 0.033 [0.03034, 0.03565] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007225 | PGS001524 (GBE_INI95) |
PSS007496| African Ancestry| 209 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (during blood-pressure measurement) | — | — | R²: 0.06125 [0.04996, 0.07254] Incremental R2 (full-covars): -0.01473 PGS R2 (no covariates): 0.00497 [0.00156, 0.00838] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007226 | PGS001524 (GBE_INI95) |
PSS007497| East Asian Ancestry| 141 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (during blood-pressure measurement) | — | — | R²: 0.0637 [0.04131, 0.08609] Incremental R2 (full-covars): 0.00078 PGS R2 (no covariates): 0.00983 [0.00052, 0.01913] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007227 | PGS001524 (GBE_INI95) |
PSS007498| European Ancestry| 2,103 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (during blood-pressure measurement) | — | — | R²: 0.02805 [0.02401, 0.0321] Incremental R2 (full-covars): 0.0191 PGS R2 (no covariates): 0.02008 [0.01663, 0.02353] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007228 | PGS001524 (GBE_INI95) |
PSS007499| South Asian Ancestry| 381 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (during blood-pressure measurement) | — | — | R²: 0.0378 [0.02951, 0.04608] Incremental R2 (full-covars): 0.00144 PGS R2 (no covariates): 0.00428 [0.0014, 0.00717] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007229 | PGS001524 (GBE_INI95) |
PSS007500| European Ancestry| 6,590 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Pulse rate (during blood-pressure measurement) | — | — | R²: 0.01671 [0.0148, 0.01863] Incremental R2 (full-covars): 0.00704 PGS R2 (no covariates): 0.00724 [0.00596, 0.00851] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005235 | PGS001525 (GBE_INI12340) |
PSS004806| African Ancestry| 203 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 0.20692 [0.18939, 0.22446] Incremental R2 (full-covars): 0.01284 PGS R2 (no covariates): 0.02209 [0.01502, 0.02915] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005236 | PGS001525 (GBE_INI12340) |
PSS004807| East Asian Ancestry| 102 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 0.199 [0.16514, 0.23286] Incremental R2 (full-covars): 0.01328 PGS R2 (no covariates): 0.00454 [-0.00181, 0.0109] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005237 | PGS001525 (GBE_INI12340) |
PSS004808| European Ancestry| 1,601 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 0.1428 [0.13475, 0.15084] Incremental R2 (full-covars): 0.02153 PGS R2 (no covariates): 0.01977 [0.01635, 0.02319] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005238 | PGS001525 (GBE_INI12340) |
PSS004809| South Asian Ancestry| 315 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 0.20988 [0.19385, 0.2259] Incremental R2 (full-covars): 0.00738 PGS R2 (no covariates): 0.00578 [0.00243, 0.00912] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005239 | PGS001525 (GBE_INI12340) |
PSS004810| European Ancestry| 5,223 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QRS duration | — | — | R²: 0.11697 [0.11241, 0.12153] Incremental R2 (full-covars): 0.01872 PGS R2 (no covariates): 0.02164 [0.01947, 0.02382] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005305 | PGS001526 (GBE_INI22331) |
PSS004971| African Ancestry| 120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 0.07804 [0.06552, 0.09056] Incremental R2 (full-covars): -0.0033 PGS R2 (no covariates): 0.00046 [-0.00058, 0.0015] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005306 | PGS001526 (GBE_INI22331) |
PSS004972| East Asian Ancestry| 68 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 0.32528 [0.28882, 0.36175] Incremental R2 (full-covars): 0.0416 PGS R2 (no covariates): 0.07506 [0.05104, 0.09907] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005307 | PGS001526 (GBE_INI22331) |
PSS004973| European Ancestry| 872 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 0.05819 [0.05255, 0.06383] Incremental R2 (full-covars): 0.02543 PGS R2 (no covariates): 0.02774 [0.02372, 0.03176] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005308 | PGS001526 (GBE_INI22331) |
PSS004974| South Asian Ancestry| 201 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 0.06747 [0.05675, 0.0782] Incremental R2 (full-covars): -0.0012 PGS R2 (no covariates): 0.0053 [0.0021, 0.00851] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005309 | PGS001526 (GBE_INI22331) |
PSS004975| European Ancestry| 3,523 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QT interval | — | — | R²: 0.01777 [0.01579, 0.01974] Incremental R2 (full-covars): 0.01493 PGS R2 (no covariates): 0.01503 [0.01321, 0.01685] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005310 | PGS001527 (GBE_INI22332) |
PSS004976| African Ancestry| 120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 0.19276 [0.17553, 0.20998] Incremental R2 (full-covars): 0.00351 PGS R2 (no covariates): 0.00541 [0.00185, 0.00897] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005311 | PGS001527 (GBE_INI22332) |
PSS004977| East Asian Ancestry| 68 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 0.21617 [0.18164, 0.25071] Incremental R2 (full-covars): 0.01252 PGS R2 (no covariates): 0.00397 [-0.00198, 0.00991] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005312 | PGS001527 (GBE_INI22332) |
PSS004978| European Ancestry| 872 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 0.07278 [0.06657, 0.079] Incremental R2 (full-covars): 0.01137 PGS R2 (no covariates): 0.00935 [0.00697, 0.01173] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005313 | PGS001527 (GBE_INI22332) |
PSS004979| South Asian Ancestry| 201 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 0.07001 [0.05911, 0.0809] Incremental R2 (full-covars): -0.00126 PGS R2 (no covariates): 0.00213 [0.00009, 0.00417] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005314 | PGS001527 (GBE_INI22332) |
PSS004980| European Ancestry| 3,523 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: QTC interval | — | — | R²: 0.07628 [0.07243, 0.08013] Incremental R2 (full-covars): 0.01976 PGS R2 (no covariates): 0.02423 [0.02193, 0.02652] |
age, sex, UKB array type, Genotype PCs | — |
| PPM009988 | PGS001888 (portability-PLR_apoA) |
PSS009384| European Ancestry| 17,339 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4103 [0.3978, 0.4226] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009990 | PGS001888 (portability-PLR_apoA) |
PSS008712| European Ancestry| 5,765 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4138 [0.3921, 0.435] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009991 | PGS001888 (portability-PLR_apoA) |
PSS008486| Greater Middle Eastern Ancestry| 1,033 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.3636 [0.3089, 0.4158] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009992 | PGS001888 (portability-PLR_apoA) |
PSS008264| South Asian Ancestry| 5,470 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.3639 [0.3406, 0.3867] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009993 | PGS001888 (portability-PLR_apoA) |
PSS008042| East Asian Ancestry| 1,543 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.35 [0.3051, 0.3933] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009994 | PGS001888 (portability-PLR_apoA) |
PSS007828| African Ancestry| 2,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.2555 [0.2154, 0.2948] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009995 | PGS001888 (portability-PLR_apoA) |
PSS008932| African Ancestry| 3,389 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.2218 [0.1894, 0.2536] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009989 | PGS001888 (portability-PLR_apoA) |
PSS009158| European Ancestry| 3,563 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4163 [0.3887, 0.4432] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010099 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS009365| European Ancestry| 1,622 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0975 [0.0487, 0.1458] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010100 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS009139| European Ancestry| 310 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1126 [-0.0026, 0.2249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010101 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS008693| European Ancestry| 474 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0776 [-0.0146, 0.1684] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010102 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS008467| Greater Middle Eastern Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): -0.1487 [-0.4886, 0.2303] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010103 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS008247| South Asian Ancestry| 299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0714 [-0.0464, 0.1872] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010104 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS008025| East Asian Ancestry| 134 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.2031 [0.0199, 0.3731] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010105 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS007811| African Ancestry| 76 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.2803 [0.0188, 0.5059] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010106 | PGS001902 (portability-PLR_ECG_P_duration) |
PSS008915| African Ancestry| 138 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1764 [-0.0045, 0.3461] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010108 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS009137| European Ancestry| 191 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.1015 [-0.0493, 0.2478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010109 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS008691| European Ancestry| 225 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.1429 [0.006, 0.2745] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010110 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS008465| Greater Middle Eastern Ancestry| 25 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): -0.3367 [-0.9398, 0.7761] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010111 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS008245| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0817 [-0.0824, 0.2415] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010113 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS007809| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0201 [-0.349, 0.3838] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010114 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS008913| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.2346 [-0.0787, 0.5057] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010107 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS009363| European Ancestry| 1,036 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.1051 [0.0439, 0.1655] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010112 | PGS001903 (portability-PLR_ECG_PP_interval) |
PSS008023| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.144 [-0.1314, 0.3987] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010115 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS009364| European Ancestry| 992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.173 [0.1113, 0.2333] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010116 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS009138| European Ancestry| 181 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1945 [0.041, 0.3389] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010117 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS008692| European Ancestry| 217 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.2467 [0.1108, 0.3736] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010118 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS008466| Greater Middle Eastern Ancestry| 25 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.2876 [-0.7969, 0.9331] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010119 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS008246| South Asian Ancestry| 159 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.09 [-0.0776, 0.2527] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010120 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS008024| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.0694 [-0.2047, 0.3335] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010121 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS007810| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.212 [-0.1676, 0.5368] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010122 | PGS001904 (portability-PLR_ECG_PQ_interval) |
PSS008914| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.2774 [-0.0331, 0.539] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010124 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS009141| European Ancestry| 193 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.1764 [0.0279, 0.3172] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010125 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS008695| European Ancestry| 226 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.2353 [0.1019, 0.3604] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010126 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS008469| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): -0.1488 [-0.8569, 0.7538] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010127 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS008249| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): -0.0176 [-0.18, 0.1459] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010128 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS008027| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.325 [0.06, 0.5472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010129 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS007813| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): -0.034 [-0.3956, 0.3367] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010130 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS008917| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.1053 [-0.2091, 0.4] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010123 | PGS001905 (portability-PLR_ECG_QT_interval) |
PSS009367| European Ancestry| 1,042 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.1488 [0.0883, 0.2082] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010131 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS009366| European Ancestry| 1,040 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2353 [0.1765, 0.2925] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010132 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS009140| European Ancestry| 191 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2876 [0.1438, 0.4196] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010133 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS008694| European Ancestry| 225 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.1528 [0.0161, 0.2839] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010135 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS008248| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): -0.0987 [-0.2576, 0.0654] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010136 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS008026| East Asian Ancestry| 72 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2317 [-0.044, 0.4746] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010137 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS007812| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): -0.0515 [-0.4103, 0.321] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010138 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS008916| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.1979 [-0.1168, 0.4766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010134 | PGS001906 (portability-PLR_ECG_QTC_interval) |
PSS008468| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.5901 [-0.425, 0.9478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010139 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS009368| European Ancestry| 1,042 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.065 [0.0037, 0.1258] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010140 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS009142| European Ancestry| 193 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.0882 [-0.0618, 0.2343] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010141 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS008696| European Ancestry| 226 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.1096 [-0.0276, 0.2426] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010142 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS008470| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): -0.3743 [-0.9096, 0.628] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010143 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS008250| South Asian Ancestry| 166 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.0596 [-0.1039, 0.2199] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010144 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS008028| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.1051 [-0.1701, 0.365] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010146 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS008918| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.0322 [-0.2782, 0.3365] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010145 | PGS001907 (portability-PLR_ECG_RR_interval) |
PSS007814| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): -0.1946 [-0.5237, 0.1851] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010339 | PGS001933 (portability-PLR_LDL) |
PSS009376| European Ancestry| 18,968 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3331 [0.3204, 0.3457] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010340 | PGS001933 (portability-PLR_LDL) |
PSS009150| European Ancestry| 3,946 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3496 [0.3219, 0.3768] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010341 | PGS001933 (portability-PLR_LDL) |
PSS008704| European Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3177 [0.2953, 0.3397] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010342 | PGS001933 (portability-PLR_LDL) |
PSS008478| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.297 [0.2422, 0.3499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010343 | PGS001933 (portability-PLR_LDL) |
PSS008256| South Asian Ancestry| 5,987 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2086 [0.1842, 0.2327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010344 | PGS001933 (portability-PLR_LDL) |
PSS008034| East Asian Ancestry| 1,716 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2593 [0.2144, 0.3032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010345 | PGS001933 (portability-PLR_LDL) |
PSS007820| African Ancestry| 2,338 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2864 [0.2486, 0.3234] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010346 | PGS001933 (portability-PLR_LDL) |
PSS008924| African Ancestry| 3,651 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2203 [0.1891, 0.251] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010461 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS008759| European Ancestry| 487 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2468 [0.1596, 0.3301] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010459 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS009431| European Ancestry| 1,702 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2202 [0.1743, 0.2652] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010462 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS008533| Greater Middle Eastern Ancestry| 50 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.1933 [-0.1794, 0.5176] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010463 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS008311| South Asian Ancestry| 305 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2407 [0.1281, 0.3472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010464 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS008088| East Asian Ancestry| 137 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.0168 [-0.1652, 0.1978] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010465 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS007875| African Ancestry| 77 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.155 [-0.11, 0.3995] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010466 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS008979| African Ancestry| 140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.0017 [-0.1776, 0.1809] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010460 | PGS001948 (portability-PLR_log_ECG_QRS_duration) |
PSS009205| European Ancestry| 329 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.1602 [0.0495, 0.267] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010675 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS009464| European Ancestry| 18,718 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2692 [0.2559, 0.2825] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010676 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS009238| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2436 [0.2139, 0.2729] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010677 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS008792| European Ancestry| 6,338 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2694 [0.2463, 0.2921] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010678 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS008566| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2658 [0.2107, 0.3191] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010679 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS008344| South Asian Ancestry| 6,098 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2364 [0.2125, 0.26] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010680 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS008121| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1969 [0.1508, 0.2422] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010681 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS007908| African Ancestry| 2,438 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1477 [0.1085, 0.1865] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010682 | PGS001975 (portability-PLR_log_pulse_rate) |
PSS009012| African Ancestry| 3,850 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1343 [0.103, 0.1652] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010723 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS009469| European Ancestry| 1,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.1331 [0.086, 0.1796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010724 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS009243| European Ancestry| 329 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.0953 [-0.0164, 0.2047] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010726 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS008571| Greater Middle Eastern Ancestry| 50 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): -0.2266 [-0.5425, 0.1456] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010727 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS008349| South Asian Ancestry| 307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.025 [-0.0911, 0.1404] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010728 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS008126| East Asian Ancestry| 137 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): -0.0998 [-0.2763, 0.0832] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010729 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS007913| African Ancestry| 78 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.0409 [-0.2198, 0.296] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010730 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS009017| African Ancestry| 140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): -0.1197 [-0.2927, 0.0608] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010725 | PGS001981 (portability-PLR_log_ventricular_rate) |
PSS008797| European Ancestry| 490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.1205 [0.0304, 0.2087] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011664 | PGS002101 (portability-ldpred2_apoA) |
PSS009384| European Ancestry| 17,339 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4018 [0.3893, 0.4143] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011665 | PGS002101 (portability-ldpred2_apoA) |
PSS009158| European Ancestry| 3,563 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4015 [0.3735, 0.4288] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011666 | PGS002101 (portability-ldpred2_apoA) |
PSS008712| European Ancestry| 5,765 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.4118 [0.3901, 0.433] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011667 | PGS002101 (portability-ldpred2_apoA) |
PSS008486| Greater Middle Eastern Ancestry| 1,033 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.3567 [0.3017, 0.4093] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011668 | PGS002101 (portability-ldpred2_apoA) |
PSS008264| South Asian Ancestry| 5,470 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.3678 [0.3447, 0.3906] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011670 | PGS002101 (portability-ldpred2_apoA) |
PSS007828| African Ancestry| 2,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.2377 [0.1973, 0.2774] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011671 | PGS002101 (portability-ldpred2_apoA) |
PSS008932| African Ancestry| 3,389 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.2133 [0.1808, 0.2453] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011669 | PGS002101 (portability-ldpred2_apoA) |
PSS008042| East Asian Ancestry| 1,543 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Apolipoprotein A | — | — | Partial Correlation (partial-r): 0.353 [0.3082, 0.3962] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011785 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS008693| European Ancestry| 474 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0919 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011783 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS009365| European Ancestry| 1,622 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0694 [0.0205, 0.118] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011784 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS009139| European Ancestry| 310 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1064 [-0.0089, 0.2189] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011786 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS008467| Greater Middle Eastern Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): -0.0742 [-0.429, 0.3005] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011787 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS008247| South Asian Ancestry| 299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.0224 [-0.0953, 0.1394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011788 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS008025| East Asian Ancestry| 134 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1083 [-0.0771, 0.2865] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011789 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS007811| African Ancestry| 76 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1808 [-0.0862, 0.4236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011790 | PGS002116 (portability-ldpred2_ECG_P_duration) |
PSS008915| African Ancestry| 138 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: P duration | — | — | Partial Correlation (partial-r): 0.1921 [0.0118, 0.3604] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011796 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS008023| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.1932 [-0.0813, 0.4405] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011791 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS009363| European Ancestry| 1,036 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0979 [0.0366, 0.1584] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011792 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS009137| European Ancestry| 191 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.2685 [0.1234, 0.4024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011793 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS008691| European Ancestry| 225 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.1491 [0.0123, 0.2804] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011794 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS008465| Greater Middle Eastern Ancestry| 25 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.5089 [-0.6776, 0.9601] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011795 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS008245| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0824 [-0.0817, 0.2421] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011797 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS007809| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0366 [-0.3344, 0.3978] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011798 | PGS002117 (portability-ldpred2_ECG_PP_interval) |
PSS008913| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PP interval | — | — | Partial Correlation (partial-r): 0.0184 [-0.2909, 0.3242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011801 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS008692| European Ancestry| 217 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.2529 [0.1173, 0.3793] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011799 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS009364| European Ancestry| 992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1997 [0.1385, 0.2593] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011800 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS009138| European Ancestry| 181 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.2082 [0.0553, 0.3516] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011802 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS008466| Greater Middle Eastern Ancestry| 25 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1708 [-0.8377, 0.9152] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011803 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS008246| South Asian Ancestry| 159 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.116 [-0.0515, 0.2771] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011804 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS008024| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1237 [-0.1517, 0.3812] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011805 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS007810| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1518 [-0.2274, 0.491] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011806 | PGS002118 (portability-ldpred2_ECG_PQ_interval) |
PSS008914| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: PQ interval | — | — | Partial Correlation (partial-r): 0.1868 [-0.1282, 0.4676] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011807 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS009367| European Ancestry| 1,042 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.1358 [0.0751, 0.1954] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011811 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS008249| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): -0.0112 [-0.1738, 0.1521] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011813 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS007813| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.0468 [-0.3253, 0.4063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011808 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS009141| European Ancestry| 193 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.2209 [0.0742, 0.3583] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011809 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS008695| European Ancestry| 226 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.197 [0.062, 0.3249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011810 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS008469| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): -0.0945 [-0.8415, 0.7766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011812 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS008027| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.3302 [0.0658, 0.5513] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011814 | PGS002119 (portability-ldpred2_ECG_QT_interval) |
PSS008917| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QT interval | — | — | Partial Correlation (partial-r): 0.071 [-0.2419, 0.3705] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011815 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS009366| European Ancestry| 1,040 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2417 [0.1831, 0.2987] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011816 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS009140| European Ancestry| 191 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2789 [0.1344, 0.4117] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011817 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS008694| European Ancestry| 225 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.1159 [-0.0214, 0.249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011818 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS008468| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.3605 [-0.6376, 0.9068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011819 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS008248| South Asian Ancestry| 165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): -0.106 [-0.2645, 0.058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011820 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS008026| East Asian Ancestry| 72 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.1801 [-0.0976, 0.4317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011821 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS007812| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): -0.0667 [-0.4229, 0.3073] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011822 | PGS002120 (portability-ldpred2_ECG_QTC_interval) |
PSS008916| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QTC interval | — | — | Partial Correlation (partial-r): 0.2359 [-0.0773, 0.5068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011824 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS009142| European Ancestry| 193 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.2615 [0.1169, 0.3953] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011823 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS009368| European Ancestry| 1,042 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.1001 [0.039, 0.1604] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011825 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS008696| European Ancestry| 226 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.115 [-0.022, 0.2478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011826 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS008470| Greater Middle Eastern Ancestry| 26 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.2994 [-0.6766, 0.8938] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011827 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS008250| South Asian Ancestry| 166 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.0599 [-0.1036, 0.2202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011828 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS008028| East Asian Ancestry| 73 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.1681 [-0.107, 0.4194] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011829 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS007814| African Ancestry| 49 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): 0.0409 [-0.3305, 0.4014] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011830 | PGS002121 (portability-ldpred2_ECG_RR_interval) |
PSS008918| African Ancestry| 61 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: RR interval | — | — | Partial Correlation (partial-r): -0.0491 [-0.3514, 0.2625] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012054 | PGS002150 (portability-ldpred2_LDL) |
PSS008924| African Ancestry| 3,651 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2251 [0.194, 0.2558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012047 | PGS002150 (portability-ldpred2_LDL) |
PSS009376| European Ancestry| 18,968 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3346 [0.3219, 0.3472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012048 | PGS002150 (portability-ldpred2_LDL) |
PSS009150| European Ancestry| 3,946 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3475 [0.3197, 0.3747] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012049 | PGS002150 (portability-ldpred2_LDL) |
PSS008704| European Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.3081 [0.2856, 0.3303] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012050 | PGS002150 (portability-ldpred2_LDL) |
PSS008478| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2975 [0.2427, 0.3504] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012051 | PGS002150 (portability-ldpred2_LDL) |
PSS008256| South Asian Ancestry| 5,987 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2191 [0.1948, 0.2431] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012052 | PGS002150 (portability-ldpred2_LDL) |
PSS008034| East Asian Ancestry| 1,716 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.2555 [0.2104, 0.2994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012053 | PGS002150 (portability-ldpred2_LDL) |
PSS007820| African Ancestry| 2,338 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: LDL direct | — | — | Partial Correlation (partial-r): 0.294 [0.2563, 0.3307] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012175 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS009431| European Ancestry| 1,702 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2257 [0.1798, 0.2706] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012176 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS009205| European Ancestry| 329 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.1797 [0.0695, 0.2855] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012177 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS008759| European Ancestry| 487 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2307 [0.143, 0.3149] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012178 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS008533| Greater Middle Eastern Ancestry| 50 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2134 [-0.1591, 0.5327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012179 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS008311| South Asian Ancestry| 305 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.2354 [0.1226, 0.3422] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012180 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS008088| East Asian Ancestry| 137 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.0367 [-0.1458, 0.2168] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012181 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS007875| African Ancestry| 77 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.1029 [-0.162, 0.354] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012182 | PGS002166 (portability-ldpred2_log_ECG_QRS_duration) |
PSS008979| African Ancestry| 140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: QRS duration | — | — | Partial Correlation (partial-r): 0.0257 [-0.1542, 0.204] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012391 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS009464| European Ancestry| 18,718 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.271 [0.2576, 0.2842] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012393 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS008792| European Ancestry| 6,338 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2684 [0.2453, 0.2911] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012394 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS008566| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2709 [0.216, 0.3241] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012395 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS008344| South Asian Ancestry| 6,098 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2393 [0.2155, 0.2629] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012396 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS008121| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2011 [0.1551, 0.2463] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012397 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS007908| African Ancestry| 2,438 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1463 [0.1071, 0.1851] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012398 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS009012| African Ancestry| 3,850 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1406 [0.1094, 0.1715] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012392 | PGS002193 (portability-ldpred2_log_pulse_rate) |
PSS009238| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.243 [0.2132, 0.2722] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012439 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS009469| European Ancestry| 1,711 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.1563 [0.1094, 0.2024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012440 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS009243| European Ancestry| 329 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.1975 [0.0879, 0.3024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012441 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS008797| European Ancestry| 490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.1785 [0.0894, 0.2646] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012442 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS008571| Greater Middle Eastern Ancestry| 50 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): -0.2917 [-0.59, 0.0766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012443 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS008349| South Asian Ancestry| 307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.066 [-0.0501, 0.1804] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012445 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS007913| African Ancestry| 78 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.0201 [-0.2394, 0.277] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012446 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS009017| African Ancestry| 140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): -0.0905 [-0.2655, 0.0902] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012444 | PGS002199 (portability-ldpred2_log_ventricular_rate) |
PSS008126| East Asian Ancestry| 137 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ventricular rate | — | — | Partial Correlation (partial-r): 0.0478 [-0.1349, 0.2274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012908 | PGS002267 (PRS89_AA) |
PSS009608| European Ancestry| 385,621 individuals |
PGP000296 | Pirruccello JP et al. Nat Genet (2021) |
Reported Trait: Incident thoracic aortic aneurysm or dissection | HR: 1.43 [1.32, 1.54] | — | — | Sex, prevalent diagnoses of type 2 diabetes or hypertension, tobacco smoking history (the number of pack years of tobacco smoking), body mass (the cubic natural spline of body mass index) and age (the cubic natural spline of age at enrollment). | — |
| PPM012944 | PGS002274 (LDL-PRS) |
PSS009627| European Ancestry| 4,416 individuals |
PGP000303 | Groenland EH et al. Atherosclerosis (2022) |
Reported Trait: Low-density lipoprotein cholesterol | β: 0.18 [0.15, 0.21] | — | — | Age, sex, the first 5 principal components, BMI, T2DM, smoking, alcohol use, systolic blood pressure, eGFR, triglycerides, lipid-lowering medication | — |
| PPM012946 | PGS002276 (QTc_PRS-CS) |
PSS009628| Multi-ancestry (including European)| 26,976 individuals |
PGP000304 | Nauffal V et al. Circulation (2022) |
Reported Trait: QTc | — | — | R²: 0.087 | age, sex, beta blocker use, calcium channel blocker use, heart failure, myocardial infarction, first 12 principal components of genetic ancestry (PC1-12) | PRS performance was overall similar across the individual genetic ancestries in TOPMed. (European R²: 0.074; African R²:0.077, Admixed American R²:0.148; Amish R²:0.197; Asian R²:0.245; Undetermined Genetic Ancestry R²:0.106) |
| PPM012952 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: All-cause mortality | — | — | HR (top 10% vs bottom 10%): 1.11 [1.04, 1.18] | Age, sex, body mass index (BMI; except for obesity),10 principal components of ancestry | — |
| PPM012954 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: All-cause mortality (with heart failure) | — | — | HR (top 10% vs bottom 10%): 1.26 [1.05, 1.5] | Age, sex, body mass index (BMI; except for obesity),10 principal components of ancestry | — |
| PPM012956 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: All-cause mortality (without heart failure) | — | — | HR (top 10% vs bottom 10%): 1.09 [1.02, 1.17] | Age, sex, body mass index (BMI; except for obesity),10 principal components of ancestry | — |
| PPM012957 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Heart failure diagnosis | OR: 0.97 [0.95, 0.99] | — | — | Age, sex, body mass index,10 principal components of ancestry | — |
| PPM012958 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Brain natriuretic peptide level | — | — | Median (top 10% vs bottom 10%): 146.0 [79, 228] pg/ml | — | — |
| PPM012959 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Prevalence of dyspnoea | — | — | OR (top 10% vs bottom 10%): 1.17 [1.01, 1.37] | — | — |
| PPM012960 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Exertional dyspnoea | — | — | OR (top 10% vs bottom 10%): 1.39 [1.12, 1.74] | — | — |
| PPM012961 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Peperipheral oedema | — | — | OR (top 10% vs bottom 10%): 1.07 [1.01, 1.13] | — | — |
| PPM012962 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Medication for heart failure (loop diuretics) | — | — | OR (top 10% vs bottom 10%): 1.03 [1.01, 1.05] | — | — |
| PPM012963 | PGS002278 (GRS16_snLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: Medication for heart failure (mineralocorticoid receptor antagonists) | — | — | OR (top 10% vs bottom 10%): 1.04 [1.01, 1.09] | — | — |
| PPM012953 | PGS002279 (GRS22_rLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: All-cause mortality | — | — | HR (top 10% vs bottom 10%): 1.1 [1.02, 1.12] | Age, sex, body mass index (BMI; except for obesity),10 principal components of ancestry | — |
| PPM012955 | PGS002279 (GRS22_rLVEF) |
PSS009631| Multi-ancestry (including European)| 486,754 individuals |
PGP000307 | Forrest IS et al. Eur J Heart Fail (2022) |
Reported Trait: All-cause mortality (with heart failure) | — | — | HR (top 10% vs bottom 10%): 1.31 [1.09, 1.58] | Age, sex, body mass index (BMI; except for obesity),10 principal components of ancestry | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009158 | — | — | 3,563 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000714 | — | — | 6,003 individuals | — | African unspecified | — | UKB | — |
| PSS000715 | — | — | 1,082 individuals | — | East Asian | — | UKB | — |
| PSS000716 | — | — | 23,535 individuals | — | European | Non-British White | UKB | — |
| PSS000717 | — | — | 7,319 individuals | — | South Asian | — | UKB | — |
| PSS000718 | — | — | 63,675 individuals | — | European (British) |
— | UKB | — |
| PSS001146 | — | — | 3,566 individuals | — | African unspecified | — | AADM | — |
| PSS001144 | — | — | 4,273 individuals | — | African unspecified | — | AADM | — |
| PSS001145 | — | — | 707 individuals | — | African unspecified | — | AADM | — |
| PSS001149 | — | — | 4,972 individuals | — | Sub-Saharan African | — | AWI-Gen | — |
| PSS001150 | — | — | 3,743 individuals | — | African unspecified | — | AWI-Gen | — |
| PSS001151 | — | — | 15,242 individuals | — | South Asian | — | G&H | — |
| PSS001152 | — | — | 118,260 individuals | — | East Asian | — | KoGES | — |
| PSS000292 | Composite end point of cardiovascular events was defined as myocardial infarction, ischemic stroke, and death from coronary heart disease. Death from coronary heart disease was defined on the basis of codes 412 and 414 (ICD-9) or I22–I23 and I25 (ICD-10) in the Swedish Cause of Death Register. Myocardial infarction was defined on the basis of codes 410 and I21 in the International Classification of Diseases, 9th Revision and 10th Revision (ICD-9 and ICD-10), respectively. Ischemic stroke was defined on the basis of codes 434 or 436 (ICD-9) and I63 or I64 (ICD-10). | Median = 10.6 years | [
|
— | European | — | MDC | — |
| PSS001153 | — | — | 1,341 individuals | — | African American or Afro-Caribbean | — | MGI | — |
| PSS001154 | — | — | 17,190 individuals | — | European | — | MGI | — |
| PSS001156 | — | — | 18,251 individuals | — | African American or Afro-Caribbean | — | MVP | Subset not used in discovery dataset |
| PSS001157 | — | — | 4,155 individuals | — | Asian unspecified | — | MVP | Subset not used in discovery dataset |
| PSS001158 | — | — | 68,381 individuals | — | European | — | MVP | Subset not used in discovery dataset |
| PSS001159 | — | — | 7,669 individuals | — | Hispanic or Latin American | — | MVP | Subset not used in discovery dataset |
| PSS001160 | — | — | 2,138 individuals | — | African American or Afro-Caribbean | — | PMB | — |
| PSS001161 | — | — | 28,217 individuals | — | East Asian | — | ToMMo | Only participants from Miyagi Prefecture were included |
| PSS001162 | — | — | 461,918 individuals | — | European, African unspecified, East Asian, South Asian | — | UKB | — |
| PSS001163 | — | — | 6,863 individuals | — | African unspecified | — | UKB | — |
| PSS001164 | — | — | 1,441 individuals | — | East Asian | — | UKB | — |
| PSS001165 | — | — | 389,158 individuals | — | European | — | UKB | — |
| PSS001166 | — | — | 6,814 individuals | — | South Asian | — | UKB | — |
| PSS008696 | — | — | 226 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008704 | — | — | 6,312 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008712 | — | — | 5,765 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008979 | — | — | 140 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009238 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009243 | — | — | 329 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009608 | — | Median = 11.2 yrs | [
|
— | European (British, Irish) |
— | UKB | — |
| PSS001175 | Cases were individuals with atrial fibrillation. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001176 | Cases were individuals with atrioventricular preexcitation. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001177 | Cases were individuals with congential artery disease. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001178 | Cases were individuals with distal conduction disease. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001179 | Cases were individuals with implantable cardioverter defibrillators. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001180 | Cases were individuals with mitral valve prolapse. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001181 | Cases were individuals with non-ischemic cardiomyopathy. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001182 | Cases were individuals with a pacemaker. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS001183 | Cases were individuals with valve disease. Disease status was ascertained based on data from baseline interviews, hospital diagnosis codes (ICD-9 and ICD-10), cause of death codes (ICD-10), and operation codes. Details of individual selections and disease definitions are described in Supplementary Data 23. | — | [
|
— | European | — | UKB | — |
| PSS007336 | — | — | 3,863 individuals | — | African unspecified | — | UKB | — |
| PSS007337 | — | — | 807 individuals | — | East Asian | — | UKB | — |
| PSS007338 | — | — | 11,021 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007339 | — | — | 5,226 individuals | — | South Asian | — | UKB | — |
| PSS004781 | — | — | 6,409 individuals | — | African unspecified | — | UKB | — |
| PSS004782 | — | — | 1,634 individuals | — | East Asian | — | UKB | — |
| PSS004783 | — | — | 23,727 individuals | — | European | non-white British ancestry | UKB | — |
| PSS000795 | — | — | 1,378 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS000181 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 4,680 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
African unspecified | — | UKB | Genotyping Array Cohort |
| PSS000182 | Cardiovascular disease events were defined as coronary and carotid revascularization, myocardial infarction, ischemic stroke, and all-cause mortality. The CVD events occurring before and after enrollment were included. Events occurring prior to enrollment were identified by either self-reported medical history and/or previous hospital admission documented in an electronic health record. | — | [ ,
43.36 % Male samples |
Mean = 56.64 years Sd = 7.99 years |
European, East Asian, African unspecified | — | UKB | Genotyping Array & Exome Sequencing Cohort |
| PSS000183 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 10,640 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
East Asian | — | UKB | Genotyping Array Cohort |
| PSS000184 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 439,871 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
European | — | UKB | Genotyping Array Cohort |
| PSS000185 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 439,871 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
European | — | UKB | Genotyping Array Cohort |
| PSS000185 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 10,640 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
East Asian | — | UKB | Genotyping Array Cohort |
| PSS000185 | LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). | — | 4,680 individuals, 45.8 % Male samples |
Mean = 56.6 years Sd = 8.1 years |
African unspecified | — | UKB | Genotyping Array Cohort |
| PSS004784 | — | — | 7,640 individuals | — | South Asian | — | UKB | — |
| PSS004785 | — | — | 63,825 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007345 | — | — | 26,777 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008250 | — | — | 166 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008256 | — | — | 5,987 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008264 | — | — | 5,470 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004806 | — | — | 203 individuals | — | African unspecified | — | UKB | — |
| PSS004807 | — | — | 102 individuals | — | East Asian | — | UKB | — |
| PSS004808 | — | — | 1,601 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004809 | — | — | 315 individuals | — | South Asian | — | UKB | — |
| PSS004810 | — | — | 5,223 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009627 | — | — | 4,416 individuals, 75.0 % Male samples |
European | — | UCC-SMART | UCC-SMART | |
| PSS000824 | — | — | 2,097 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS000825 | — | — | 1,987 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS009628 | Bazzet formula QT-corrected interval calculated from automated QT interval obtained from 12-lead electrocardiograms in TOPMed | — | 26,976 individuals, 65.4 % Male samples |
Mean = 59.8 years Sd = 12.5 years |
European, African unspecified, Asian unspecified, Other admixed ancestry, Not reported | Combined analysis of European (59.6%), African (18.1%), Asian (2.9%), Admixed American (2.2%), Amish (3.7%) and Undetermined (13.5%) genetic ancestries | 9 cohorts
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| PSS008792 | — | — | 6,338 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008797 | — | — | 490 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008691 | — | — | 225 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009631 | ICD-10 diagnosis code for hypertensive heart disease with heart failure, hypertensive heart and chronic kidney disease with heart failure and stage 1 through stage 4 chronic kidney disease, hypertensive heart and chronic kidney disease with heart failure and with stage 5 chronic kidney disease, or heart failure (I11.0, I13.0, I13.2, I50) in BioMe biobank and ICD-10 diagnosis code for hypertensive heart disease with heart failure, hypertensive heart and chronic kidney disease with heart failure and stage 1 through stage 4 chronic kidney disease, hypertensive heart and chronic kidney disease with heart failure and with stage 5 chronic kidney disease, or heart failure (I11.0, I13.0, I13.2, I50) in UKB; ICD-10 diagnosis code for exertional dyspnea (R06.09) and/or physician-documented exertional dyspnea in the problem list; ICD-10 diagnosis code for peripheral edema (R60) and/or physician-documented peripheral edema in the problem list (e.g., “ankle swelling”, “lower extremity swelling”); (e.g., “shortness of breath”, “difficulty breathing”; and “on exertion”, “when exercising”); ICD-10 diagnosis code for dyspnea (R06.0) and/or physician-documented dyspnea in the problem list (e.g., “shortness of breath”, “trouble breathing”) | — | 486,754 individuals, 46.0 % Male samples |
Median = 58.0 years | African unspecified, Hispanic or Latin American, European, Asian unspecified, NR | African, Hispanic/Latino, European, Asian, Other ancestry | BioMe, UKB | — |
| PSS000465 | Individuals ≥18 years with clinically diagnosed heterozygous familial hypercholesterolemia (FH) from the BCFH cohort. Individuals who were positive for the common French Canadian variant in the LDLR gene including del.15 kb of the promoter and exon 1, del.5 kb of exons 2 and 3, p.W66G (exon 3), p.E207K (exon 4), p.Y468X (exon 10), or p.C646Y (exon 14) in this study. Fasting clinical lipid profiles were obtained following a 4-week washout of any cholesterol-lowering medications from the CNMA cohort. Individuals who were positive for a LDLR, APOB, or PCSK9 variant that was deemed to cause FH in the UKB cohort.Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes | — | 1,120 individuals, 40.4 % Male samples |
Mean = 41.36 years | European, NR | European (94%), Not reported (6%) | BCFH, CNMA, UKB | — |
| PSS000466 | Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes | — | 389,127 individuals | — | European | — | UKB | — |
| PSS008692 | — | — | 217 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008693 | — | — | 474 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008694 | — | — | 225 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009637 | — | — | [
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— | Not reported | — | NR | LIPIGEN (Lipid TransPort Disorders italian Genetic Network) database |
| PSS008695 | — | — | 226 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008311 | — | — | 305 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009205 | — | — | 329 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS007809 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007810 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007811 | — | — | 76 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007812 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007813 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007814 | — | — | 49 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007820 | — | — | 2,338 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009363 | — | — | 1,036 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007828 | — | — | 2,151 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009365 | — | — | 1,622 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009364 | — | — | 992 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009367 | — | — | 1,042 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009366 | — | — | 1,040 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009368 | — | — | 1,042 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008344 | — | — | 6,098 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008349 | — | — | 307 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009376 | — | — | 18,968 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009384 | — | — | 17,339 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007875 | — | — | 77 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007496 | — | — | 209 individuals | — | African unspecified | — | UKB | — |
| PSS007497 | — | — | 141 individuals | — | East Asian | — | UKB | — |
| PSS007498 | — | — | 2,103 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007499 | — | — | 381 individuals | — | South Asian | — | UKB | — |
| PSS007500 | — | — | 6,590 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS000903 | 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.14 | — | 295 individuals | — | European | — | Amsterdam | — |
| PSS000904 | 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.12 | — | 1,257 individuals | — | European | — | Amsterdam | — |
| 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 | — |
| PSS000906 | 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.13 | — | 1,193 individuals | — | European | — | Amsterdam | — |
| PSS008915 | — | — | 138 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008913 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008914 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008917 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008916 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008918 | — | — | 61 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008924 | — | — | 3,651 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009431 | — | — | 1,702 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008932 | — | — | 3,389 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS007908 | — | — | 2,438 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007913 | — | — | 78 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS004966 | — | — | 120 individuals | — | African unspecified | — | UKB | — |
| PSS004967 | — | — | 68 individuals | — | East Asian | — | UKB | — |
| PSS004968 | — | — | 834 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004969 | — | — | 193 individuals | — | South Asian | — |