| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004326 |
| Description | The number of times the HEART VENTRICLES contract per unit of time, usually per minute. | Trait category |
Cardiovascular measurement
|
| Synonyms |
2 synonyms
|
| Mapped terms |
4 mapped terms
|
| Child trait(s) | 2 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| PGS003472 (LDPred2_HrRt) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Heart rate | heart rate | 776,860 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003472/ScoringFiles/PGS003472.txt.gz |
| PGS003550 (cont-decay-log_pulse_rate) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Pulse rate, automated reading | heart rate | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003550/ScoringFiles/PGS003550.txt.gz |
| PGS004327 (X4194.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Pulse rate | heart rate | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004327/ScoringFiles/PGS004327.txt.gz |
| PGS004370 (X102.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Pulse rate, automated reading | heart rate | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004370/ScoringFiles/PGS004370.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 |
|---|---|---|---|---|---|---|---|---|---|
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| PPM017282 | PGS003472 (LDPred2_HrRt) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.019 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017305 | PGS003472 (LDPred2_HrRt) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.032 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017478 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010916| European Ancestry| 18,679 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017562 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010832| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017646 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010664| European Ancestry| 6,182 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017730 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010580| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017814 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010244| European Ancestry| 2,194 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017898 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010496| South Asian Ancestry| 6,050 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017982 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010412| East Asian Ancestry| 1,709 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018066 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010328| African Ancestry| 2,424 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018150 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010748| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM020442 | PGS004327 (X4194.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Pulse rate | — | — | PGS R2 (no covariates): 0.13579 | — | — |
| PPM020485 | PGS004370 (X102.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Pulse rate, automated reading | — | — | PGS R2 (no covariates): 0.20361 | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS010916 | — | — | 18,679 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010664 | — | — | 6,182 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | 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) |
| PSS010412 | — | — | 1,709 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS008792 | — | — | 6,338 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008797 | — | — | 490 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS007908 | — | — | 2,438 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007913 | — | — | 78 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000369 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 334 individuals, 69.2 % Male samples |
Mean = 11.1 years Sd = 0.48 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000371 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 288 individuals, 69.2 % Male samples |
Mean = 15.83 years Sd = 0.6 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000374 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,318 individuals, 47.6 % Male samples |
Mean = 11.1 years | European | — | TRAILS | — |
| PSS008566 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000376 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,354 individuals, 47.56 % Male samples |
Mean = 16.22 years Sd = 0.66 years |
European | — | TRAILS | — |
| PSS009464 | — | — | 18,718 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS008571 | — | — | 50 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010832 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS009469 | — | — | 1,711 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010580 | — | — | 1,122 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010328 | — | — | 2,424 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS004996 | — | — | 192 individuals | — | African unspecified | — | UKB | — |
| PSS004997 | — | — | 110 individuals | — | East Asian | — | UKB | — |
| PSS004998 | — | — | 1,708 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004999 | — | — | 319 individuals | — | South Asian | — | UKB | — |
| PSS005000 | — | — | 5,528 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009238 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008344 | — | — | 6,098 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009243 | — | — | 329 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008349 | — | — | 307 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS010748 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010496 | — | — | 6,050 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010244 | — | — | 2,194 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS007331 | — | — | 3,863 individuals | — | African unspecified | — | UKB | — |
| PSS007332 | — | — | 807 individuals | — | East Asian | — | UKB | — |
| PSS007333 | — | — | 11,021 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007334 | — | — | 5,226 individuals | — | South Asian | — | UKB | — |
| PSS007335 | — | — | 26,777 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009012 | — | — | 3,850 individuals | — | African unspecified | Nigeria (West Africa) | 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 | — |
| PSS004784 | — | — | 7,640 individuals | — | South Asian | — | UKB | — |
| PSS004785 | — | — | 63,825 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008121 | — | — | 1,719 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009017 | — | — | 140 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008126 | — | — | 137 individuals | — | East Asian | China (East Asia) | UKB | — |