Trait: triglyceride measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004530
Description
  • A triglyceride measurement is a quantification of triglycerides in some body fluid, used as a biomarker for cardiovascular disease.
Trait category
Lipid or lipoprotein measurement
Synonyms triglyceride levels
Mapped term(s) NCIt:C64812

Associated Polygenic Score(s)

Polygenic Score (PGS) ID PGS Name PGS Publication (PGP) ID Reported Trait Mapped Trait(s) (Ontology) Number of Variants PGS Scoring File (FTP Link)
PGS000063 GRS_TG PGP000045 Johnson L et al. PLoS One (2015) triglycerides triglyceride measurement 32 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000063/ScoringFiles/PGS000063.txt.gz
PGS000066 GLGC2017_TG PGP000046 Kuchenbaecker K et al. Nat Commun (2019) Triglycerides (TG) triglyceride measurement 101 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000066/ScoringFiles/PGS000066.txt.gz
PGS000312 GRS190_TG PGP000092 Xie T et al. Circ Genom Precis Med (2020) Triglycerides triglyceride measurement 190 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000312/ScoringFiles/PGS000312.txt.gz

PGS 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 ID)
Evaluated Score PGS Sample Set ID
(PSS ID)
Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in the Model PGS Performance: Other Relevant Information
PPM000163 PGS000063 (GRS_TG) PSS000098 PGP000045
Johnson L et al. (2015)
Reported Trait: Serum triglyceride (TG) levels β: 0.464 Beta (p-value): 1.71e-11 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TC Association (p-value; unadjusted for covariates) < 0.001
PPM000164 PGS000063 (GRS_TG) PSS000097 PGP000045
Johnson L et al. (2015)
Reported Trait: Serum triglyceride (TG) levels β: 0.337 Beta (p-value): 0.0107 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TC Association (p-value; unadjusted for covariates) < 0.001
PPM000166 PGS000063 (GRS_TG) PSS000099 PGP000045
Johnson L et al. (2015)
Reported Trait: Serum triglyceride (TG) levels β: 0.5 Beta (p-value): 1.09e-10 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TC Association (p-value; unadjusted for covariates) < 0.001
PPM000169 PGS000066 (GLGC2017_TG) PSS000104 PGP000046
Kuchenbaecker K et al. (2019)
Reported Trait: Serum triglyceride (TG) levels correlation (r): 0.204[0.183, 0.223] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000172 PGS000066 (GLGC2017_TG) PSS000102 PGP000046
Kuchenbaecker K et al. (2019)
Reported Trait: Serum triglyceride (TG) levels correlation (r): 0.235[0.176, 0.294] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000175 PGS000066 (GLGC2017_TG) PSS000103 PGP000046
Kuchenbaecker K et al. (2019)
Reported Trait: Serum triglyceride (TG) levels correlation (r): 0.234[0.175, 0.293] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000178 PGS000066 (GLGC2017_TG) PSS000100 PGP000046
Kuchenbaecker K et al. (2019)
Reported Trait: Serum triglyceride (TG) levels correlation (r): 0.063[0.038, 0.089] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000181 PGS000066 (GLGC2017_TG) PSS000101 PGP000046
Kuchenbaecker K et al. (2019)
Reported Trait: Serum triglyceride (TG) levels correlation (r): 0.139[0.1, 0.178] 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
PPM000165 PGS000063 (GRS_TG) PSS000096 PGP000045
Johnson L et al. (2015)
Reported Trait: Serum triglyceride (TG) levels β: 0.047 Beta (p-value): 0.526 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TC
PPM000782 PGS000312 (GRS190_TG) PSS000376 PGP000092
Xie T et al. (2020)
Reported Trait: Triglycerides (mmol/l) : 0.0656 Sex, age, age^2

Evaluated Samples

PGS Sample Set ID
(PSS ID)
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
PSS000100 Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG) 6,407 individuals,
44.0 % Male samples
Mean = 34.0 years Sub-Saharan African APCDR APCDR-Uganda study
PSS000101 Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG) 21,295 individuals,
38.0 % Male samples
Mean = 60.0 years East Asian
(Chinese)
CKB - 20810 samples had HDL measurements - 17662 samples had LDL measurements - 20222 samples had triglyceride measurements
PSS000102 Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG) 1,641 individuals,
58.0 % Male samples
Mean = 62.0 years European
(Greek)
Population isolate from the Pomak villages in the North of Greece HELIC - 1186 samples had HDL measurements - 1186 samples had LDL measurements - 1176 samples had triglyceride measurements
PSS000103 Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG) 1,945 individuals,
66.0 % Male samples
Mean = 45.0 years European
(Greek)
Population isolate from the Mylopotamos villages in Crete HELIC - 1078 samples had HDL measurements - 1075 samples had LDL measurements - 1066 samples had triglyceride measurements
PSS000104 Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG) 9,962 individuals,
56.0 % Male samples
Mean = 52.0 years European UKHLS - 9706 samples had HDL measurements - 9767 samples had LDL measurements - 9635 samples had triglyceride measurements
PSS000096 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. 1,355 individuals,
46.2 % Male samples
Mean = 61.68 years African American or Afro-Caribbean MESA MESA Classic Cohort
PSS000097 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. 666 individuals,
50.15 % Male samples
Mean = 61.5 years East Asian MESA MESA Classic Cohort
PSS000098 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. 2,063 individuals,
46.78 % Male samples
Mean = 62.09 years European MESA MESA Classic Cohort
PSS000099 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. 1,256 individuals,
48.89 % Male samples
Mean = 60.65 years Hispanic or Latin American MESA MESA Classic Cohort
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