Trait: heart rate

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
  • cardiac chronotropy
  • pulse rate
Mapped terms 4 mapped terms
  • MeSH:D006339
  • MedDRA:10019299
  • NCIt:C49677
  • SNOMEDCT:364075005
Child trait(s) resting heart rate

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "heart rate" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution 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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Pulse rate (during blood-pressure measurement) heart rate 765
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001524/ScoringFiles/PGS001524.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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) : 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) : 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) : 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) : 0.0223 Sex, age, age^2, BMI
PPM008674 PGS001233
(GBE_INI102)
PSS004781|
African Ancestry|
6,409 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (AR) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (AR) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (AR) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (AR) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (AR) : 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. medRxiv (2021)
|Pre
Reported Trait: Ave. heart rate : 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. medRxiv (2021)
|Pre
Reported Trait: Ave. heart rate : 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. medRxiv (2021)
|Pre
Reported Trait: Ave. heart rate : 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. medRxiv (2021)
|Pre
Reported Trait: Ave. heart rate : 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. medRxiv (2021)
|Pre
Reported Trait: Ave. heart rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (during blood-pressure measurement) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (during blood-pressure measurement) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (during blood-pressure measurement) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (during blood-pressure measurement) : 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. medRxiv (2021)
|Pre
Reported Trait: Pulse rate (during blood-pressure measurement) : 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

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
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)
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
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
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)
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)
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)