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
Synonym triglyceride levels
Mapped term NCIt:C64812

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000063
(GRS_TG)
PGP000045 |
Johnson L et al. PLoS One (2015)
triglycerides triglyceride measurement 32
-
https://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
-
https://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
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000312/ScoringFiles/PGS000312.txt.gz
PGS000659
(PRS-TG)
PGP000121 |
Tam CHT et al. Genome Med (2021)
Triglycerides triglyceride measurement 142
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000659/ScoringFiles/PGS000659.txt.gz
PGS000699
(snpnet.Triglycerides)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Triglycerides [mmol/L] triglyceride measurement 16,003
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000699/ScoringFiles/PGS000699.txt.gz - Check Terms/Licenses
PGS000826
(Triglycerides_PGS)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Triglycerides triglyceride measurement 769
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000826/ScoringFiles/PGS000826.txt.gz - Check Terms/Licenses
PGS000847
(TG)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Triglycerides (TG) triglyceride measurement 201
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000847/ScoringFiles/PGS000847.txt.gz
PGS001979
(portability-PLR_log_triglycerides)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Triglycerides triglyceride measurement 71,203
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001979/ScoringFiles/PGS001979.txt.gz
PGS002197
(portability-ldpred2_log_triglycerides)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Triglycerides triglyceride measurement 731,035
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002197/ScoringFiles/PGS002197.txt.gz
PGS002287
(GRS_286_TG)
PGP000313 |
Kamiza AB et al. Nat Med (2022)
Triglyceride triglyceride measurement 286
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002287/ScoringFiles/PGS002287.txt.gz
PGS002353
(biochemistry_Triglycerides.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002353/ScoringFiles/PGS002353.txt.gz
PGS002378
(biochemistry_Triglycerides.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 920,927
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002378/ScoringFiles/PGS002378.txt.gz
PGS002425
(biochemistry_Triglycerides.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 10,135
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002425/ScoringFiles/PGS002425.txt.gz
PGS002474
(biochemistry_Triglycerides.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 27,130
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002474/ScoringFiles/PGS002474.txt.gz
PGS002523
(biochemistry_Triglycerides.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 122,153
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002523/ScoringFiles/PGS002523.txt.gz
PGS002572
(biochemistry_Triglycerides.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 3,917
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002572/ScoringFiles/PGS002572.txt.gz
PGS002621
(biochemistry_Triglycerides.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 2,757
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002621/ScoringFiles/PGS002621.txt.gz
PGS002670
(biochemistry_Triglycerides.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 379,622
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002670/ScoringFiles/PGS002670.txt.gz
PGS002719
(biochemistry_Triglycerides.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Triglycerides triglyceride measurement 981,472
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002719/ScoringFiles/PGS002719.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
PPM000163 PGS000063
(GRS_TG)
PSS000098|
European Ancestry|
2,063 individuals
PGP000045 |
Johnson L et al. PLoS One (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|
East Asian Ancestry|
666 individuals
PGP000045 |
Johnson L et al. PLoS One (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|
Hispanic or Latin American Ancestry|
1,256 individuals
PGP000045 |
Johnson L et al. PLoS One (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
PPM000165 PGS000063
(GRS_TG)
PSS000096|
African Ancestry|
1,355 individuals
PGP000045 |
Johnson L et al. PLoS One (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
PPM000169 PGS000066
(GLGC2017_TG)
PSS000104|
European Ancestry|
9,962 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (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|
European Ancestry|
1,641 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (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|
European Ancestry|
1,945 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (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|
African Ancestry|
6,407 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (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|
East Asian Ancestry|
21,295 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (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
PPM000782 PGS000312
(GRS190_TG)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Triglycerides (mmol/l) : 0.0656 Sex, age, age^2
PPM001353 PGS000659
(PRS-TG)
PSS000587|
East Asian Ancestry|
426 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Triglycerides at baseline (log transformed) β: 0.133 (0.023) Pearson Correlation Coefficient (r): 0.251
Incremental R² (PRS and covariates vs. covariates-alone): 0.0514
age, sex, BMI, PCs
PPM001354 PGS000659
(PRS-TG)
PSS000593|
East Asian Ancestry|
4,917 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Triglycerides at baseline (log transformed) β: 0.165 (0.008) Pearson Correlation Coefficient (r): 0.2
Incremental R² (PRS and covariates vs. covariates-alone): 0.0731
age, sex, BMI, PCs
PPM001355 PGS000659
(PRS-TG)
PSS000589|
East Asian Ancestry|
1,941 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Triglycerides at baseline (log transformed) β: 0.133 (0.013) Pearson Correlation Coefficient (r): 0.209
Incremental R² (PRS and covariates vs. covariates-alone): 0.05
age, sex, BMI, PCs
PPM001356 PGS000659
(PRS-TG)
PSS000591|
East Asian Ancestry|
865 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Triglycerides at baseline (log transformed) β: 0.14 (0.019) Pearson Correlation Coefficient (r): 0.231
Incremental R² (PRS and covariates vs. covariates-alone): 0.0558
age, sex, BMI, PCs
PPM001427 PGS000699
(snpnet.Triglycerides)
PSS000772|
African Ancestry|
6,014 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] : 0.10632
Spearman's ρ: 0.169
Age, sex, PCs(1-40)
PPM001462 PGS000699
(snpnet.Triglycerides)
PSS000773|
East Asian Ancestry|
1,081 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] : 0.1757
Spearman's ρ: 0.256
Age, sex, PCs(1-40)
PPM001497 PGS000699
(snpnet.Triglycerides)
PSS000774|
European Ancestry|
23,559 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] : 0.23168
Spearman's ρ: 0.339
Age, sex, PCs(1-40)
PPM001532 PGS000699
(snpnet.Triglycerides)
PSS000775|
South Asian Ancestry|
7,330 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] : 0.16187
Spearman's ρ: 0.317
Age, sex, PCs(1-40)
PPM001567 PGS000699
(snpnet.Triglycerides)
PSS000776|
European Ancestry|
63,731 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] : 0.22344
Spearman's ρ: 0.352
Age, sex, PCs(1-40)
PPM001582 PGS000699
(snpnet.Triglycerides)
PSS000833|
European Ancestry|
2,004 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] Spearman's ρ: 0.29 Age, sex
PPM001581 PGS000699
(snpnet.Triglycerides)
PSS000832|
European Ancestry|
2,129 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Triglycerides [mmol/L] Spearman's ρ: 0.258 Age, sex
PPM007420 PGS000699
(snpnet.Triglycerides)
PSS007206|
African Ancestry|
6,096 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Triglycerides : 0.07363 [0.06141, 0.08585]
Incremental R2 (full-covars): 0.02258
PGS R2 (no covariates): 0.02275 [0.01559, 0.02992]
age, sex, UKB array type, Genotype PCs
PPM007421 PGS000699
(snpnet.Triglycerides)
PSS007207|
East Asian Ancestry|
1,615 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Triglycerides : 0.10923 [0.08133, 0.13713]
Incremental R2 (full-covars): 0.05029
PGS R2 (no covariates): 0.0596 [0.03784, 0.08136]
age, sex, UKB array type, Genotype PCs
PPM007422 PGS000699
(snpnet.Triglycerides)
PSS007208|
European Ancestry|
23,749 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Triglycerides : 0.14451 [0.13643, 0.15258]
Incremental R2 (full-covars): 0.08283
PGS R2 (no covariates): 0.09525 [0.08831, 0.10218]
age, sex, UKB array type, Genotype PCs
PPM007423 PGS000699
(snpnet.Triglycerides)
PSS007209|
South Asian Ancestry|
7,419 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Triglycerides : 0.11194 [0.09878, 0.12509]
Incremental R2 (full-covars): 0.08162
PGS R2 (no covariates): 0.09593 [0.08353, 0.10833]
age, sex, UKB array type, Genotype PCs
PPM007424 PGS000699
(snpnet.Triglycerides)
PSS007210|
European Ancestry|
64,410 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Triglycerides : 0.13984 [0.13498, 0.14469]
Incremental R2 (full-covars): 0.09299
PGS R2 (no covariates): 0.10941 [0.10496, 0.11385]
age, sex, UKB array type, Genotype PCs
PPM002232 PGS000826
(Triglycerides_PGS)
PSS001083|
Multi-ancestry (including European)|
2,531 individuals
PGP000210 |
Zubair N et al. Sci Rep (2019)
Reported Trait: Triglycerides : 0.039 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor
PPM002318 PGS000847
(TG)
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
PPM002320 PGS000847
(TG)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.0 [0.94, 1.08] PC1-10
PPM002321 PGS000847
(TG)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.96, 1.09] PC1-10
PPM002322 PGS000847
(TG)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.99 [0.94, 1.05] PC1-10
PPM002319 PGS000847
(TG)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 0.98 [0.92, 1.05] PC1-10
PPM010707 PGS001979
(portability-PLR_log_triglycerides)
PSS009467|
European Ancestry|
18,986 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3705 [0.3582, 0.3827] sex, age, birth date, deprivation index, 16 PCs
PPM010708 PGS001979
(portability-PLR_log_triglycerides)
PSS009241|
European Ancestry|
3,948 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3597 [0.3322, 0.3867] sex, age, birth date, deprivation index, 16 PCs
PPM010709 PGS001979
(portability-PLR_log_triglycerides)
PSS008795|
European Ancestry|
6,319 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3539 [0.3321, 0.3753] sex, age, birth date, deprivation index, 16 PCs
PPM010710 PGS001979
(portability-PLR_log_triglycerides)
PSS008569|
Greater Middle Eastern Ancestry|
1,122 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3051 [0.2505, 0.3577] sex, age, birth date, deprivation index, 16 PCs
PPM010711 PGS001979
(portability-PLR_log_triglycerides)
PSS008347|
South Asian Ancestry|
5,996 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3582 [0.3359, 0.3801] sex, age, birth date, deprivation index, 16 PCs
PPM010712 PGS001979
(portability-PLR_log_triglycerides)
PSS008124|
East Asian Ancestry|
1,716 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.2738 [0.2292, 0.3173] sex, age, birth date, deprivation index, 16 PCs
PPM010713 PGS001979
(portability-PLR_log_triglycerides)
PSS007911|
African Ancestry|
2,345 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.1921 [0.1526, 0.2309] sex, age, birth date, deprivation index, 16 PCs
PPM010714 PGS001979
(portability-PLR_log_triglycerides)
PSS009015|
African Ancestry|
3,653 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.1492 [0.1172, 0.1808] sex, age, birth date, deprivation index, 16 PCs
PPM012423 PGS002197
(portability-ldpred2_log_triglycerides)
PSS009467|
European Ancestry|
18,986 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3655 [0.3531, 0.3778] sex, age, birth date, deprivation index, 16 PCs
PPM012424 PGS002197
(portability-ldpred2_log_triglycerides)
PSS009241|
European Ancestry|
3,948 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3494 [0.3216, 0.3766] sex, age, birth date, deprivation index, 16 PCs
PPM012425 PGS002197
(portability-ldpred2_log_triglycerides)
PSS008795|
European Ancestry|
6,319 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3526 [0.3308, 0.374] sex, age, birth date, deprivation index, 16 PCs
PPM012426 PGS002197
(portability-ldpred2_log_triglycerides)
PSS008569|
Greater Middle Eastern Ancestry|
1,122 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3093 [0.2549, 0.3617] sex, age, birth date, deprivation index, 16 PCs
PPM012427 PGS002197
(portability-ldpred2_log_triglycerides)
PSS008347|
South Asian Ancestry|
5,996 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.3545 [0.3322, 0.3765] sex, age, birth date, deprivation index, 16 PCs
PPM012428 PGS002197
(portability-ldpred2_log_triglycerides)
PSS008124|
East Asian Ancestry|
1,716 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.256 [0.211, 0.3] sex, age, birth date, deprivation index, 16 PCs
PPM012429 PGS002197
(portability-ldpred2_log_triglycerides)
PSS007911|
African Ancestry|
2,345 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.1776 [0.138, 0.2167] sex, age, birth date, deprivation index, 16 PCs
PPM012430 PGS002197
(portability-ldpred2_log_triglycerides)
PSS009015|
African Ancestry|
3,653 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Triglycerides Partial Correlation (partial-r): 0.1521 [0.1202, 0.1837] sex, age, birth date, deprivation index, 16 PCs
PPM012984 PGS002287
(GRS_286_TG)
PSS009639|
African Ancestry|
2,569 individuals
PGP000313 |
Kamiza AB et al. Nat Med (2022)
Reported Trait: Triglyceride levels : 0.0087 age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5 Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment)
PPM013118 PGS002353
(biochemistry_Triglycerides.BOLT-LMM)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0227 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013167 PGS002353
(biochemistry_Triglycerides.BOLT-LMM)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0687 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013216 PGS002353
(biochemistry_Triglycerides.BOLT-LMM)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.1023 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013265 PGS002353
(biochemistry_Triglycerides.BOLT-LMM)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0898 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013290 PGS002378
(biochemistry_Triglycerides.BOLT-LMM-BBJ)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0037 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013313 PGS002378
(biochemistry_Triglycerides.BOLT-LMM-BBJ)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0522 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013336 PGS002378
(biochemistry_Triglycerides.BOLT-LMM-BBJ)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013359 PGS002378
(biochemistry_Triglycerides.BOLT-LMM-BBJ)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0212 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013406 PGS002425
(biochemistry_Triglycerides.P+T.0.0001)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013455 PGS002425
(biochemistry_Triglycerides.P+T.0.0001)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0312 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013504 PGS002425
(biochemistry_Triglycerides.P+T.0.0001)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0516 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013553 PGS002425
(biochemistry_Triglycerides.P+T.0.0001)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0447 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013602 PGS002474
(biochemistry_Triglycerides.P+T.0.001)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013651 PGS002474
(biochemistry_Triglycerides.P+T.0.001)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0225 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013700 PGS002474
(biochemistry_Triglycerides.P+T.0.001)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0405 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013749 PGS002474
(biochemistry_Triglycerides.P+T.0.001)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0301 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013798 PGS002523
(biochemistry_Triglycerides.P+T.0.01)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013847 PGS002523
(biochemistry_Triglycerides.P+T.0.01)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0056 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013896 PGS002523
(biochemistry_Triglycerides.P+T.0.01)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0238 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013945 PGS002523
(biochemistry_Triglycerides.P+T.0.01)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0065 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013994 PGS002572
(biochemistry_Triglycerides.P+T.1e-06)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0066 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014043 PGS002572
(biochemistry_Triglycerides.P+T.1e-06)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0415 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014141 PGS002572
(biochemistry_Triglycerides.P+T.1e-06)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0602 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014092 PGS002572
(biochemistry_Triglycerides.P+T.1e-06)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0555 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014190 PGS002621
(biochemistry_Triglycerides.P+T.5e-08)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0125 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014239 PGS002621
(biochemistry_Triglycerides.P+T.5e-08)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0389 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014288 PGS002621
(biochemistry_Triglycerides.P+T.5e-08)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0522 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014337 PGS002621
(biochemistry_Triglycerides.P+T.5e-08)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0579 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014435 PGS002670
(biochemistry_Triglycerides.PolyFun-pred)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0666 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Triglycerides.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014386 PGS002670
(biochemistry_Triglycerides.PolyFun-pred)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0266 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Triglycerides.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014484 PGS002670
(biochemistry_Triglycerides.PolyFun-pred)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1123 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Triglycerides.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014533 PGS002670
(biochemistry_Triglycerides.PolyFun-pred)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0898 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Triglycerides.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014582 PGS002719
(biochemistry_Triglycerides.SBayesR)
PSS009855|
African Ancestry|
6,066 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0246 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014631 PGS002719
(biochemistry_Triglycerides.SBayesR)
PSS009856|
East Asian Ancestry|
868 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0775 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014680 PGS002719
(biochemistry_Triglycerides.SBayesR)
PSS009857|
European Ancestry|
40,890 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.1001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014729 PGS002719
(biochemistry_Triglycerides.SBayesR)
PSS009858|
South Asian Ancestry|
7,553 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Triglycerides Incremental R2 (full model vs. covariates alone): 0.0918 age, sex, age‚age*sex, assessment center, genotyping array, 10 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
PSS008795 6,319 individuals European Italy (South Europe) UKB
PSS000832 2,129 individuals European Participants self-identifying as white MESA
PSS000833 2,004 individuals European Participants self-identifying as white MESA
PSS001083 Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L). 2,531 individuals,
40.0 % Male samples
Mean = 48.0 years
Sd = 12.0 years
European, Asian unspecified, Hispanic or Latin American, African unspecified, NR European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152 NR Participants were obtained from the Scientific Wellness Program.
PSS007911 2,345 individuals African American or Afro-Caribbean Carribean 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
PSS008569 1,122 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009639 Non-fasting serum lipid levels were measured using the Cobas Integra 400 Plus Chemistry analyser, an automated analyser that employs four different technologies: absorption photometry, fluorescence polarization immunoassay, immune-turbidimetry, and potentiometry for accurate analysis. LDL-C were measured using the homogeneous enzymatic colorimetric assays 2,569 individuals,
42.9 % Male samples
Mean = 33.1 years
Ci = [18.0, 48.2] years
Sub-Saharan African
(South Africans)
SAZ
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS009467 18,986 individuals European UK (+ Ireland) UKB
PSS000587 Measured using fasting blood samples 426 individuals,
46.0 % Male samples
Mean = 43.3 years
Sd = 11.4 years
East Asian
(Chinese)
NR Adults
PSS000589 Measured using fasting blood samples 1,941 individuals,
57.7 % Male samples
Mean = 58.2 years
Sd = 12.34 years
East Asian
(Chinese)
HKDB
PSS000591 Measured using fasting blood samples 865 individuals,
57.6 % Male samples
Mean = 57.0 years
Sd = 12.08 years
East Asian
(Chinese)
HKDB
PSS000593 Measured using fasting blood samples 4,917 individuals,
44.9 % Male samples
Mean = 56.3 years
Sd = 13.5 years
East Asian
(Chinese)
HKDR
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
PSS009241 3,948 individuals European Poland (NE Europe) UKB
PSS008347 5,996 individuals South Asian India (South Asia) UKB
PSS000772 6,014 individuals African unspecified UKB
PSS000773 1,081 individuals East Asian UKB
PSS000774 23,559 individuals European Non-British White UKB
PSS000775 7,330 individuals South Asian UKB
PSS000776 63,731 individuals European
(British)
UKB
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
PSS007206 6,096 individuals African unspecified UKB
PSS007207 1,615 individuals East Asian UKB
PSS007208 23,749 individuals European non-white British ancestry UKB
PSS007209 7,419 individuals South Asian UKB
PSS007210 64,410 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS009015 3,653 individuals African unspecified Nigeria (West Africa) UKB
PSS009855 6,066 individuals African unspecified UKB
PSS009856 868 individuals East Asian UKB
PSS009857 40,890 individuals European Non-British European UKB
PSS009858 7,553 individuals South Asian UKB
PSS008124 1,716 individuals East Asian China (East Asia) UKB