Trait: low density lipoprotein cholesterol measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004611
Description
  • The measurement of LDL cholesterol in blood used as a risk indicator for heart disease.
Trait category
Cardiovascular measurement
Lipid or lipoprotein measurement
Synonyms LDL measurement
Mapped term(s) 2 mapped terms
  • NCIt:C105588
  • SNOMEDCT:113079009

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 PGS Scoring File (FTP Link)
PGS000061
(GRS_LDL)
PGP000045 |
Johnson L et al. PLoS One (2015)
low-density lipoprotein (LDL) cholesterol low density lipoprotein cholesterol measurement 37
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000061/ScoringFiles/PGS000061.txt.gz
PGS000065
(GLGC2017_LDL)
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Low density lipoprotein (HDL) cholesterol low density lipoprotein cholesterol measurement 103
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000065/ScoringFiles/PGS000065.txt.gz
PGS000115
(LDL-C_20)
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
low density lipoprotein cholesterol low density lipoprotein cholesterol measurement 223
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000115/ScoringFiles/PGS000115.txt.gz
PGS000192
(GS9)
PGP000079 |
Kathiresan S et al. N Engl J Med (2008)
Cholesterol high density lipoprotein cholesterol measurement,
low density lipoprotein cholesterol measurement
9
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000192/ScoringFiles/PGS000192.txt.gz
PGS000310
(GRS194_LDL)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Low-density lipoprotein low density lipoprotein cholesterol measurement 194
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000310/ScoringFiles/PGS000310.txt.gz
PGS000340
(LDL-Cpsp)
PGP000107 |
Trinder M et al. Circ Genom Precis Med (2020)
Low-density lipoprotein cholesterol levels low density lipoprotein cholesterol measurement 28
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000340/ScoringFiles/PGS000340.txt.gz
PGS000661
(PRS-LDL)
PGP000121 |
Tam CHT et al. Genome Med (2021)
LDL choldesterol low density lipoprotein cholesterol measurement 84
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000661/ScoringFiles/PGS000661.txt.gz
PGS000688
(snpnet.LDL_direct_adjstatins)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
LDL cholesterol [mmol/L] (statin adjusted) low density lipoprotein cholesterol measurement 16,184
-
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000688/ScoringFiles/PGS000688.txt.gz - Check Terms/Licenses

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
PPM000155 PGS000061
(GRS_LDL)
PSS000098|
European Ancestry|
2,063 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum low-density lipoprotein (LDL) levels β: 15.0 Beta (p-value): 0.0352 age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000156 PGS000061
(GRS_LDL)
PSS000097|
East Asian Ancestry|
666 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum low-density lipoprotein (LDL) levels β: 5.58 Beta (p-value): 0.697 age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000157 PGS000061
(GRS_LDL)
PSS000096|
African Ancestry|
1,355 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum low-density lipoprotein (LDL) levels β: 30.04 Beta (p-value): 0.00282 age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000158 PGS000061
(GRS_LDL)
PSS000099|
Hispanic or Latin American Ancestry|
1,256 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum low-density lipoprotein (LDL) levels β: 42.86 Beta (p-value): 2e-05 age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000168 PGS000065
(GLGC2017_LDL)
PSS000104|
European Ancestry|
9,962 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Reported Trait: Serum low-density lipoprotein (LDL) levels correlation (r): 0.274 [0.254, 0.294] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000171 PGS000065
(GLGC2017_LDL)
PSS000102|
European Ancestry|
1,641 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Reported Trait: Serum low-density lipoprotein (LDL) levels correlation (r): 0.229 [0.172, 0.286] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000174 PGS000065
(GLGC2017_LDL)
PSS000103|
European Ancestry|
1,945 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Reported Trait: Serum low-density lipoprotein (LDL) levels correlation (r): 0.29 [0.231, 0.349] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000177 PGS000065
(GLGC2017_LDL)
PSS000100|
African Ancestry|
6,407 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Reported Trait: Serum low-density lipoprotein (LDL) levels correlation (r): 0.28 [0.257, 0.304] age, sex Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000180 PGS000065
(GLGC2017_LDL)
PSS000101|
East Asian Ancestry|
21,295 individuals
PGP000046 |
Kuchenbaecker K et al. Nat Commun (2019)
Reported Trait: Serum low-density lipoprotein (LDL) levels correlation (r): 0.198 [0.161, 0.235] age, sex, region, 20 PCs of genetic ancestry Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000780 PGS000310
(GRS194_LDL)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Low-density lipoprotein (mmol/l) : 0.1849 Sex, age, age^2
PPM000563 PGS000192
(GS9)
PSS000292|
European Ancestry|
4,232 individuals
PGP000079 |
Kathiresan S et al. N Engl J Med (2008)
Reported Trait: Incident cardiovascular event AUROC: 0.8 Hazard Ratio (HR; per allele): 1.15 [1.07, 1.24] age, sex, family history of MI, LDL cholesterol, HDL cholesterol, triglycerides, blood pressure, body mass index, diabetes status, smoking status, CRP, lipid lowering medication
PPM000264 PGS000115
(LDL-C_20)
PSS000184|
European Ancestry|
439,871 individuals
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels β: 28.01 (0.18) : 0.09 age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)
PPM000265 PGS000115
(LDL-C_20)
PSS000183|
East Asian Ancestry|
10,640 individuals
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels β: 21.73 (1.25) : 0.06 age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)
PPM000266 PGS000115
(LDL-C_20)
PSS000181|
African Ancestry|
4,680 individuals
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels β: 17.4 (1.91) : 0.04 age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)
PPM000267 PGS000115
(LDL-C_20)
PSS000185|
Multi-ancestry (including European)|
455,191 individuals
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels β: 27.78 (0.18) : 0.09 age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)
PPM000268 PGS000115
(LDL-C_20)
PSS000182|
Multi-ancestry (including European)|
47,845 individuals
PGP000053 |
Trinder M et al. JAMA Cardiol (2020)
Reported Trait: Cardiovascular disease events Hazard Ratio (HR; top vs. bottom decile of risk): 1.35 [1.3, 1.4] age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)
PPM000562 PGS000192
(GS9)
PSS000292|
European Ancestry|
4,232 individuals
PGP000079 |
Kathiresan S et al. N Engl J Med (2008)
Reported Trait: High-density lipoprotein (HDL) levels Association p-value: 2.00e-18
PPM000561 PGS000192
(GS9)
PSS000292|
European Ancestry|
4,232 individuals
PGP000079 |
Kathiresan S et al. N Engl J Med (2008)
Reported Trait: Low-density lipoprotein (LDL) levels Association p-value: 3.00e-24
PPM000924 PGS000340
(LDL-Cpsp)
PSS000466|
European Ancestry|
389,127 individuals
PGP000107 |
Trinder M et al. Circ Genom Precis Med (2020)
Reported Trait: Low-density lipoprotein cholesterol levels β: 0.82 (0.006) : 0.074 Age, sex
PPM000923 PGS000340
(LDL-Cpsp)
PSS000465|
Multi-ancestry (including European)|
1,120 individuals
PGP000107 |
Trinder M et al. Circ Genom Precis Med (2020)
Reported Trait: Low-density lipoprotein cholesterol levels in familial hypercholesterolemia mutation carriers Beta (per 20% increase in PGS): 0.13 [0.072, 0.19]
PPM000925 PGS000340
(LDL-Cpsp)
PSS000465|
Multi-ancestry (including European)|
1,120 individuals
PGP000107 |
Trinder M et al. Circ Genom Precis Med (2020)
Reported Trait: Atherosclerotic cardiovascular disease in familial hypercholesterolemia mutation carriers Odds Ratio (OR; top 20% vs. rest): 1.48 [1.02, 2.14] sex
PPM001362 PGS000661
(PRS-LDL)
PSS000594|
East Asian Ancestry|
4,917 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: LDL choldesterol at baseline (log transformed) β: 0.059 (0.004) Pearson Correlation Coefficient (r): 0.178
Incremental R² (PRS and covariates vs. covariates-alone): 0.0351
age, sex, BMI, PCs
PPM001361 PGS000661
(PRS-LDL)
PSS000588|
East Asian Ancestry|
426 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: LDL choldesterol at baseline (log transformed) β: 0.072 (0.012) Pearson Correlation Coefficient (r): 0.255
Incremental R² (PRS and covariates vs. covariates-alone): 0.0672
age, sex, BMI, PCs
PPM001363 PGS000661
(PRS-LDL)
PSS000590|
East Asian Ancestry|
1,941 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: LDL choldesterol at baseline (log transformed) β: 0.054 (0.006) Pearson Correlation Coefficient (r): 0.19
Incremental R² (PRS and covariates vs. covariates-alone): 0.036
age, sex, BMI, PCs
PPM001364 PGS000661
(PRS-LDL)
PSS000592|
East Asian Ancestry|
865 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: LDL choldesterol at baseline (log transformed) β: 0.058 (0.01) Pearson Correlation Coefficient (r): 0.195
Incremental R² (PRS and covariates vs. covariates-alone): 0.0374
age, sex, BMI, PCs
PPM001416 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000714|
African Ancestry|
6,003 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) : 0.13357
Spearman's ρ: 0.289
Age, sex, PCs(1-40)
PPM001451 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000715|
East Asian Ancestry|
1,082 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) : 0.13985
Spearman's ρ: 0.301
Age, sex, PCs(1-40)
PPM001486 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000716|
European Ancestry|
23,535 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) : 0.26408
Spearman's ρ: 0.436
Age, sex, PCs(1-40)
PPM001521 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000717|
South Asian Ancestry|
7,319 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) : 0.11217
Spearman's ρ: 0.289
Age, sex, PCs(1-40)
PPM001556 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000718|
European Ancestry|
63,675 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) : 0.26409
Spearman's ρ: 0.446
Age, sex, PCs(1-40)
PPM001575 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000824|
European Ancestry|
2,097 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) Spearman's ρ: 0.159 Age, sex
PPM001576 PGS000688
(snpnet.LDL_direct_adjstatins)
PSS000825|
European Ancestry|
1,987 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: LDL cholesterol [mmol/L] (statin adjusted) Spearman's ρ: 0.138 Age, sex

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
PSS000824 2,097 individuals European Participants self-identifying as white MESA
PSS000825 1,987 individuals European Participants self-identifying as white MESA
PSS000465 Individuals ≥18 years with clinically diagnosed heterozygous familial hypercholesterolemia (FH) from the BCFH cohort. Individuals who were positive for the common French Canadian variant in the LDLR gene including del.15 kb of the promoter and exon 1, del.5 kb of exons 2 and 3, p.W66G (exon 3), p.E207K (exon 4), p.Y468X (exon 10), or p.C646Y (exon 14) in this study. Fasting clinical lipid profiles were obtained following a 4-week washout of any cholesterol-lowering medications from the CNMA cohort. Individuals who were positive for a LDLR, APOB, or PCSK9 variant that was deemed to cause FH in the UKB cohort.Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes 1,120 individuals,
40.4 % Male samples
Mean = 41.36 years European, NR European (94%), Not reported (6%) BCFH, CNMA, UKB
PSS000466 Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes 389,127 individuals European UKB
PSS000714 6,003 individuals African unspecified UKB
PSS000715 1,082 individuals East Asian UKB
PSS000716 23,535 individuals European Non-British White UKB
PSS000717 7,319 individuals South Asian UKB
PSS000718 63,675 individuals European
(British)
UKB
PSS000292 Composite end point of cardiovascular events was defined as myocardial infarction, ischemic stroke, and death from coronary heart disease. Death from coronary heart disease was defined on the basis of codes 412 and 414 (ICD-9) or I22–I23 and I25 (ICD-10) in the Swedish Cause of Death Register. Myocardial infarction was defined on the basis of codes 410 and I21 in the International Classification of Diseases, 9th Revision and 10th Revision (ICD-9 and ICD-10), respectively. Ischemic stroke was defined on the basis of codes 434 or 436 (ICD-9) and I63 or I64 (ICD-10). Median = 10.6 years
[
  • 238 cases
  • , 3,994 controls
]
European MDC
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
PSS000588 Derived from the Friedewald’s formula 426 individuals,
46.0 % Male samples
Mean = 43.3 years
Sd = 11.4 years
East Asian
(Chinese)
Adults
PSS000590 Derived from the Friedewald’s formula 1,941 individuals,
57.7 % Male samples
Mean = 58.2 years
Sd = 12.34 years
East Asian
(Chinese)
HKDB
PSS000592 Derived from the Friedewald’s formula 865 individuals,
57.6 % Male samples
Mean = 57.0 years
Sd = 12.08 years
East Asian
(Chinese)
HKDB
PSS000594 Derived from the Friedewald’s formula 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
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
PSS000181 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 4,680 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
African unspecified UKB Genotyping Array Cohort
PSS000182 Cardiovascular disease events were defined as coronary and carotid revascularization, myocardial infarction, ischemic stroke, and all-cause mortality. The CVD events occurring before and after enrollment were included. Events occurring prior to enrollment were identified by either self-reported medical history and/or previous hospital admission documented in an electronic health record.
[
  • 5,397 cases
  • , 42,448 controls
]
,
43.36 % Male samples
Mean = 56.64 years
Sd = 7.99 years
European, East Asian, African unspecified UKB Genotyping Array & Exome Sequencing Cohort
PSS000183 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 10,640 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
East Asian UKB Genotyping Array Cohort
PSS000184 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 439,871 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
European UKB Genotyping Array Cohort
PSS000185 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 439,871 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
European UKB Genotyping Array Cohort
PSS000185 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 10,640 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
East Asian UKB Genotyping Array Cohort
PSS000185 LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf). 4,680 individuals,
45.8 % Male samples
Mean = 56.6 years
Sd = 8.1 years
African unspecified UKB Genotyping Array Cohort