Abstract
An E40K loss-of-function variant in the ANGPTL4 gene is associated with substantially reduced plasma triglyceride levels in whites, but its association with cardiovascular disease occurrence has not been reported. The prospective, population-based Atherosclerosis Risk in Communities (ARIC) Study measured the E40K ANGPTL4 variant in approximately 10,000 white participants and determined its association with coronary heart disease incidence (n=1,318 events) between 1987–89 and 2004. Compared with noncarriers, carriers of one or two copies of the 40K variant (3.8% frequency) had a 19 mg/dL lower age and sex-adjusted mean triglyceride level, 5 mg/dL lower LDL-cholesterol, and 4 mg/dL higher HDL-cholesterol. The age, sex, and field center adjusted hazard ratio of CHD was 0.63 (95% CI 0.45–0.89). Adjustment for non-lipid confounding factors did not change this hazard ratio appreciably. Carriers also appeared to have reduced risk of incident stroke, prevalent peripheral artery disease and carotid atherosclerosis, but these associations were based on few events among 40K carriers and not statistically significant. In conclusion, in this prospective study, the 40K variant of ANGPTL4 appeared to confer reduced genetic risk for coronary heart disease.
1. Introduction
It is well established that higher blood levels of LDL cholesterol (LDL-C) and lower levels of HDL cholesterol (HDL-C) increase the risk of atherosclerotic cardiovascular disease. Whether higher blood triglyceride levels increase the risk of atherosclerotic events has been less clear. However, a recent meta-analysis involving 10,158 incident coronary heart disease cases from 29 studies and corrected for within person measurement error, reported that triglycerides have a moderate independent association with coronary heart disease (CHD) incidence [1]. Comparing the top versus the bottom third of usual log-triglyceride values, the adjusted odds ratio of CHD was 1.72 (95% CI, 1.56 to 1.90).
A recent report from three cohort studies indicated that an E40K loss-of-function variant in ANGPTL4, a gene involved in partitioning of fatty acids between sites of storage and sites of oxidation, is associated with substantially reduced plasma levels of triglyceride and increased HDL-C in whites [2]. The E40K polymorphism, which is not currently listed in dbSNP, entails a 118G to A base substitution at codon 40 changing the amino acid from Glutamic Acid to Lysine. In the Atherosclerosis Risk in Communities (ARIC) Study, the 40K variant (one or two copies) was present in 4% of whites but very rare in African Americans. Besides lower triglyceride and higher HDL-C, 40K carriers had modestly decreased LDL-cholesterol and insulin levels [2]. Whether the ANGPTL4 E40K variant is associated with cardiovascular events has not yet been explored.
We used data from the ARIC Study to determine whether there is an association between the ANGPTL4 E40K variant and incidence of CHD. As secondary analyses, some of which had low statistical power, we also looked at associations with prevalence of carotid atherosclerosis or peripheral artery disease (PAD) and incidence of ischemic stroke.
2. Materials and methods
2.1. Population
The ARIC Study is a cohort study of cardiovascular disease in four US communities [3]. Between 1987 and 1989, 7,082 men and 8,710 women aged 45–64 years were recruited from Forsyth County, North Carolina; Jackson, Mississippi (African Americans only); suburban Minneapolis, Minnesota; and Washington County, Maryland. The ARIC Study protocol was approved by the institutional review board of each participating university. After written informed consent was obtained, including that for genetic studies, participants underwent a baseline clinical examination (Visit 1). Follow-up examinations of the cohort occurred three times, at intervals of roughly three years. The response rates for Visits 2 (1990–1992), 3 (1993–1995), and 4 (1996–1998) were 93 percent, 86 percent, and 80 percent, respectively. Participants completed annual telephone interviews between visits and following Visit 4.
2.2. Risk factor measurements
Risk factors examined in these analyses were ascertained at Visit 1, as described in detail in the ARIC Study manuals of operation [4]. Participants were asked to fast for at least 12 hours prior to the clinical examination. Blood was drawn from an antecubital vein of seated participants into vacuum tubes containing ethylenediaminetetraacetic acid (for measurement of lipids and DNA extraction) or a serum separator gel (glucose). Serum and plasma aliquots were stored at −70°C and were shipped to central laboratories for analyses. Total cholesterol and triglycerides were measured by enzymatic methods, and HDL-C was measured after dextran-magnesium precipitation. LDL-C was calculated [5]. Serum glucose was assayed by a hexokinase/glucose-6-phosphate dehydrogenase method. Prevalent diabetes mellitus was defined as a fasting glucose ≥ 126 mg/dl [6], or a self-reported history of or treatment for diabetes. Seated systolic and diastolic blood pressures were measured three times using a random-zero sphygmomanometer, and the average of the last two measurements was used for analysis. A standard 12-lead electrocardiogram was recorded.
Anthropometrics were taken with the subject wearing a scrub suit and no shoes. Body mass index was calculated (weight in kilograms/height in meters squared). Questionnaires assessed education, smoking status, antihypertensive and lipid lowering medications within the past two weeks, number of cigarettes smoked per day and duration of smoking (pack years computed), usual consumption of wine, beer, and hard liquor (grams per day computed). Level of sports physical activity was assessed by the Baecke Questionnaire [7].
2.3. Genotyping
The E40K SNP is located at position 1033320 in Contig NT_077812.2 (NCBI genome build 36.2) and context sequence is as follows: GTCGCCGCGCTTTGCGTCCTGGGAC[G/A]AGATGAATGTCCTGGCGCACGGACT. Using stored DNA from ARIC participants, fluorogenic 5’-nucleotidase assays for the ANGPTL4 alleles encoding E40K or the wild-type protein were performed using the TaqMan assay system (Applied Biosystems), as previously described [2]. The assays were carried out on a 7900HT Fast Real-time PCR instrument with probes and reagents purchased from Applied Biosystems.
2.4. Ascertainment of prevalent CVD
For exclusion in incidence analyses, prevalent coronary heart CHD at baseline was defined as a self-reported history of physician-diagnosed myocardial infarction, coronary artery bypass surgery, or coronary angioplasty, or evidence of a previous myocardial infarction by electrocardiogram. Prevalent stroke was defined, for exclusion, as a self-reported history of physician-diagnosed stroke.
Prevalent PAD was defined as intermittent claudication by the Rose questionnaire [8] or an ankle/brachial blood pressure index (ABI) <0.9. ABI was computed by dividing the average of ankle systolic BP (SBP) measurements by the average of brachial SBP measurements [7]. Using the Dinamap 1846 SX automated oscillometric device (Criticon, Tampa, FL), trained technicians measured two ankle BP, taken 5 to 8 min apart, at the posterior tibial artery in a randomly selected leg while the participant was prone. This automated BP measurement device has high validity compared with the standard Doppler ultrasound measurement and high reliability [9]. Two brachial artery SBPs were measured, usually in the right arm, with the participant supine [10]. The Rose Questionnaire identifies intermittent claudication as exertional leg pain relieved within 10 min by resting.
High resolution B-mode ultrasound (Biosound 2000 II SA; Biosound, Indianapolis, IN, USA) was used to measure intima-media thickness (IMT) bilaterally in the extracranial carotid arteries, in the areas of the common carotid artery (1 cm proximal to the dilatation of the carotid bulb), the carotid bifurcation (1 cm proximal to the flow divider), and the internal carotid artery (1 cm distal to the flow divider). Standardized protocols for scanning and reading were used based on a technique validated by Pignoli et al [11]. To enhance the reproducibility of carotid artery measurements standardized interrogation angles were used. Centralized training, certification, and quality control programs were implemented for both the sonographers and the readers to ensure reliability and validity of these measurements [12]. The mean IMT values at the six carotid sites were combined to produce an overall mean IMT. In case of missing data at any of the six carotid sites, maximum likelihood techniques were used to estimate the mean carotid IMT. Correlations between scans at different visits 7–10 days apart, performed by different sonographers and read by different readers were 0.77, 0.73, and 0.70 for the bifurcation, internal and common carotid, respectively. For this report, IMT was analyzed both as continuous (mean IMT) and categorical (<1 mm or ≥1 mm) variables.
2.5. Ascertainment of incident events
Events occurring between the baseline clinic exam and December 31, 2004 were identified by means of annual telephone interviews, triennial examinations, and community-wide surveillance procedures [3]. Hospital records and death certificates were surveyed for diagnoses of interest. For potential hospitalized CHD events, trained abstractors recorded presenting symptoms and cardiac enzyme levels; up to 3 electrocardiograms were photocopied and coded using the Minnesota Code. Myocardial infarction was classified using standardized criteria [3]. Out-of-hospital deaths were investigated by review of death certificates, contact with families (when possible) and physicians, and use of coroner records. Incident CHD was defined as definite CHD death [3], definite or probable hospitalized myocardial infarction [3], unrecognized myocardial infarction by electrocardiographic criteria at ARIC Visits 2–4, or a coronary revascularization procedure.
For potential hospitalized stroke events, a nurse abstracted signs, symptoms, and relevant diagnostic findings, including brain CT and MR reports. ARIC used National Survey of Stroke criteria [13]. From the abstracted data, the stroke diagnosis was assigned independently by both computer algorithm and a physician reviewer. A second physician reviewer adjudicated disagreements between the two. Incident ischemic stroke for this analysis included definite or probable ischemic (thrombotic or embolic) stroke.
2.6. Data analysis and statistical methods
Because ANGPTL4 40K carriers were very rare in African Americans, we restricted the analysis to whites. From the original ARIC cohort (n = 11,478 whites), we successively excluded participants who denied permission for DNA testing (n = 113), who had missing DNA or ANGPTL4 genotypes (n = 615), or who had not fasted 8 hours (n = 243). This left 10,507 (5,561 women and 4,946 men). Of these, 9,622 had no prevalent CHD or stroke and therefore were included in incidence analyses. The prevalent PAD analysis involved 10,126 and prevalent carotid atherosclerosis analysis involved 9,952.
Our hypothesis was that carriers of ANGPTL4 E40K would have reduced risk of all four CVD outcomes, but the primary focus was on incident CHD. Statistical analysis was performed using SAS software (v. 9.1; SAS Institute, Inc., Cary, North Carolina). Allele and genotype frequencies were compared with values predicted by Hardy-Weinberg equilibrium using the Chi-square goodness-of-fit test. To explore possible confounding factors, age and sex adjusted means or prevalences of various risk factors were computed by ANGPTL4 genotype and compared by t-test. Hazard ratios (HRs) for the associations of the ANGPTL4 variant with incident disease were calculated using Cox proportional hazards regression. Person-years at risk were calculated from the time of baseline clinical examination until the date of CVD diagnosis, death, loss to follow-up, or December 31, 2004, whichever occurred first. The proportional hazards assumption of the Cox model was found not to be violated by testing an interaction between ANGPTL4 variants and time. The odds ratios (ORs) of prevalent disease in relation to ANGPTL4 variant were calculated using logistic regression.
The authors had full access to the data and take responsibility for its integrity. All authors have read and agree to the manuscript as written.
3. Results
The mean age at baseline of the 10,507 ARIC whites included was 54 years. As shown in Table 1, 3.8% carried the 40K variant (one or two copies). Genotype frequencies conformed to Hardy-Weinberg equilibrium expectation. Compared to noncarriers, carriers had 19 mg/dL lower age and sex-adjusted mean triglyceride levels, 5 mg/dL lower mean LDL-cholesterol levels, 4 mg/dL higher HDL-cholesterol levels. They also had lower mean BMI, blood pressures, antihypertensive medication use, and diabetes prevalence, as well as more pack-years of smoking, sports participation, and high school completion. Some of these differences between carriers and noncarriers were modest, but statistically significant given the precision afforded by the large number of noncarriers.
Table 1.
Age- and sex-adjusted baseline risk factor levels (Mean ± SE or %) in relation to the E40K variant in ANGPTL4, ARIC whites, 1987–89
| ANGPTL4 40 K carrier | |||
|---|---|---|---|
| Risk factor | No (GG) | Yes (AG or AA) | p for difference |
| N (%) | 10,106 (96.2) | 401 (3.8) | -- |
| Triglycerides (mg/dL) | 131 ± 0.8 | 112 ± 4.2 | <0.0001 |
| Geometric mean triglycerides | 113 | 99 | <0.0001 |
| LDL-cholesterol (mg/dL) | 138 ± 0.3 | 133 ± 1.9 | 0.007 |
| HDL-cholesterol (mg/dL) | 51.5 ± 0.1 | 55.2 ± 0.8 | <0.0001 |
| Glucose (mg/dL) | 107 ± 0.3 | 104 ± 1.7 | 0.09 |
| BMI (kg/m2) | 27.7 ± 0.1 | 26.8 ± 0.3 | 0.0005 |
| Systolic BP (mm Hg) | 121 ± 0.2 | 119 ± 0.9 | 0.006 |
| Diastolic BP (mm Hg) | 73.7 ± 0.1 | 72.0 ± 0.5 | 0.002 |
| Pack years of smoking | 317 ± 3.6 | 367 ± 20.2 | 0.015 |
| Sport index (range 1–5) | 2.43 ± 0.01 | 2.56 ± 0.04 | 0.0009 |
| Alcohol intake (g/wk) | 42.1 ± 0.8 | 44.3 ± 4.4 | 0.61 |
| High school graduate (%) | 76.6 | 84.0 | 0.0003 |
| Diabetes (%) | 10.8 | 6.7 | 0.007 |
| Current smoker (%) | 25.7 | 26.0 | 0.88 |
| Hypertension med use (%) | 25.2 | 18.9 | 0.003 |
| Lipid-lowering med use (%) | 3.0 | 1.6 | 0.11 |
Between 1986–8 and the end of 2004, incidence of CHD, our primary endpoint, occurred in 1,318 participants (589 clinical nonfatal or fatal MI, 83 other fatal CHD events, 61 silent MI, and 585 coronary revascularizations). CHD risk was significantly lower in 40K carriers than noncarriers (Figure 1 and Table 2). The age, sex, and field center adjusted HR was 0.63 (95% CI 0.45–0.89), p = 0.009. With adjustment for non-lipid confounding factors this HR was virtually unchanged. Adjustment for triglycerides, HDL and LDL-cholesterol levels, and use of lipid lowering medication, in a model to explore mechanisms, attenuated the HR to 0.76 (95% CI 0.54–1.08), p = 0.13. Among the four lipid variables, HDL-cholesterol contributed most to the HR attenuation. This attenuation is consistent with these lipid variables, particularly HDL-cholesterol, being intermediaries, in part, of the association between E40K and incident CHD.
Figure 1.
Cumulative incidence of coronary heart disease (CHD) by E40K ANGPTL4 variant, ARIC whites
Table 2.
Associations of E40K variant in ANGPTL4 with incident coronary heart disease, ARIC whites, 1987–2004
| 40 K carrier | |||
|---|---|---|---|
| No | Yes | ||
| Coronary heart disease | |||
| Event n | 1,285 | 33 | |
| Person-years | 135,620 | 5,633 | |
| Age, sex, and field center-adjusted HR (95% CI) | 1.0 | 0.63 | (0.45–0.89) |
| Adjusted HR* (95% CI) | 1.0 | 0.61 | (0.43, 0.87) |
| Lipid-adjusted HR† (95% CI) | 1.0 | 0.76 | (0.54–1.08) |
Adjusted for baseline age, sex, field center, education (<high school, ≥high school), diabetes (yes, no), cigarette smoking (pack-years), BMI (continuous), SBP (continuous), hypertensive meds (yes, no).
Adjusted for baseline age, sex, field center, plasma triglycerides, LDL- and HDL-cholesterol, and lipid-lowering medication.
Figure 2 depicts the associations of E40K variation with CHD and the other, secondary CVD endpoints (incident stroke, prevalent PAD and carotid atherosclerosis). The secondary endpoints had few events among carriers, leading to wide confidence intervals, but the hazard or ORs were all less than 1.0, indicating a consistent direction of associations. The ischemic stroke HR of 0.65 (95% CI 0.33–1.32) was imprecise but similar to that for CHD (HR = 0.63, 95% CI 0.45–0.89). The ORs of prevalent PAD (0.81, 95% CI 0.46–1.37) and carotid atherosclerosis (0.81, 95% CI 0.52–1.25) also suggest lower risk in carriers than noncarriers but with statistical imprecision. All of these estimates were virtually unchanged when adjusted for non-lipid confounding factors.
Figure 2.
Age, sex, and field center adjusted associations of E40K ANGPTL4 variant with incident coronary heart disease (CHD) and ischemic stroke, and prevalent peripheral arterial disease (PAD) and carotid atherosclerosis, ARIC whites
4. Discussion
This population-based study of middle aged whites found that carriers of the 40K variant in ANGPTL4 had approximately 63% of the rate of CHD compared with noncarriers. The 40K variant was also associated with less incident ischemic stroke and prevalent PAD and carotid atherosclerosis, but these associations were imprecisely estimated and not statistically significant. Pooling of our results with those from other cohorts using meta-analyses will help to confirm or refute these findings. A portion of the inverse association between the 40K variant and CHD seems to be attributable to its effect on plasma lipids, because adjustment for lipids (particularly HDL-cholesterol) moderately attenuated the HR. It, of course, remains possible that nonlipid pathways may also contribute to the association.
The role of ANGPTL4 in lipid metabolism is still being clarified. Administration of ANGLTL4 protein to mice increases plasma triglyceride concentrations [14], whereas inhibition of ANGPTL4 with a neutralizing antibody lowers triglyceride concentrations [15]. Studies of an ANGPTL4 transgenic mouse model indicate that over-expression of ANGPTL4 causes fasting hypertriglyceridemia due to inhibition of lipoprotein lipase-dependent VLDL and chylomicron lipolysis [16,17]. Overexpression also upregulates cholesterol synthesis in the liver, increases insulin sensitivity in the liver, but decreases insulin sensitivity in the periphery [16]. Conversely, an ANGPTL4 knockout mouse has reduced plasma triglyceride concentrations due to increased VLDL clearance and decreased VLDL production and has modestly lower cholesterol levels [15,17]. ANGPTL4 also controls lipoprotein lipase in adipose tissue [18]. Thus, the lipid differences in ANGPTL4 40K carriers and noncarriers (Table 1) seem to be, at least in part, due to the 40k variant.
Because the 40K variant affects triglycerides more than other lipids, its association with CHD may further support a role for triglycerides in causing atherosclerosis and CHD [1]. However, the 40K allele also seemed to be associated with some other components of the metabolic syndrome (Table 1) and these may have contributed to the CHD association. In particular, HDL-cholesterol seemed to have the largest impact when lipid variables were explored as intermediaries. In addition, we found BMI lower in 40K carriers than noncarriers, a finding not observed in the previous ARIC analysis that excluded individuals with diabetes or taking lipid-lowering medication [2]. An association with BMI is consistent with evidence that lipoprotein lipase, which ANGPTL4 inhibits, is associated with obesity [19, 20]. Further large studies in humans are needed to corroborate if, and how, the 40K variant decreases risk of CHD.
A drawback of our study was the relatively few CVD events among 40K carriers. The CHD association was strong and statistically significant, but the findings for secondary CVD endpoints may be due to chance. Another drawback may be the somewhat unexpected associations of ANGPTL4 E40K with a number of non-lipid risk factors (Table 1). These associations suggest the possibility of confounding; yet adjustment for these variables had little impact on our results.
Relatively few common genes (e.g., APOE, PCSK9) have so far been shown to consistently predict incident cardiovascular disease [21]. While our findings warrant replication, they suggest that this low frequency 40K variant may be involved in genetic risk for CHD, specifically, if not for atherosclerotic CVD, in general. Yet, the 40K variant is rare enough that it likely explains only a small proportion of CVD events in the population, and routine screening for it would have no current clinical value. On the other hand, this variant could be useful in the context of a future genetic risk score for CVD based on multiple variants.
Acknowledgement
The investigators thank the staff and participants in the ARIC study for their important contributions. The authors also thank Dr. Jonathan Cohen for helpful discussions about ANGPTL4.
Sources of Funding: The ARIC Study was supported by contracts N01-HC-55015, 55016, 55018, 55019, 55020, 55021, 55022 from the National Heart, Lung, and Blood Institute.
Footnotes
Disclosures
None.
References
- 1.Sarwar N, Danesh J, Eiriksdottir G, Sigurdsson G, Wareham N, Bingham S, Boekholdt SM, Khaw KT, Gudnason V. Triglycerides and the risk of coronary heart disease: 10,158 incident cases among 262,525 participants in 29 Western prospective studies. Circulation. 2007;115:450–458. doi: 10.1161/CIRCULATIONAHA.106.637793. [DOI] [PubMed] [Google Scholar]
- 2.Romeo S, Pennacchio LA, Fu Y, Boerwinkle E, Tybjaerg-Hansen A, Hobbs HH, Cohen JC. Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL. Nat Genet. 2007;39:513–516. doi: 10.1038/ng1984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.The ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129:687–702. [PubMed] [Google Scholar]
- 4.ARIC Investigators. [Accessed January 17, 2008];ARIC Study Website. Available at: http://www.cscc.unc.edu/aric/
- 5.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein cholesterol in plasma without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502. [PubMed] [Google Scholar]
- 6.The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 1997;20:1183–1197. doi: 10.2337/diacare.20.7.1183. [DOI] [PubMed] [Google Scholar]
- 7.Baecke JA, Burema J, Frijters JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36:936–942. doi: 10.1093/ajcn/36.5.936. [DOI] [PubMed] [Google Scholar]
- 8.Rose GA, Blackburn H, Gillum RF, Prineas RJ. Geneva: World Health Organization; Cardiovascular Survey Methods. 1982
- 9.Mundt KA, Chambless LE, Burnham CB, Heiss G. Measuring ankle systolic blood pressure: Validation of the Dinamap 1846 SX. Angiology. 1992;43:555–566. doi: 10.1177/000331979204300703. [DOI] [PubMed] [Google Scholar]
- 10.ARIC: Atherosclerosis Risk in Communities Study. Manual 6A: Ultrasound Scanning. Chapel Hill: National Heart, Lung, and Blood Institute; 1987. [Accessed January 17, 2008]. Available at: www.cscc.unc.edu/aric/visit/index.phtml?visit=1. [Google Scholar]
- 11.Pignoli P, Tremoli E, Poli A, Oreste P, Paoletti R. Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. Circulation. 1986;74:1399–1406. doi: 10.1161/01.cir.74.6.1399. [DOI] [PubMed] [Google Scholar]
- 12.ARIC: Atherosclerosis Risk in Communities Study. Manual 6B: Ultrasound Assessment: Ultrasound Reading. Chapel Hill: National Heart, Lung, and Blood Institute; 1987. [Accessed January 17, 2008]. Available at: www.cscc.unc.edu/aric/visit/index.phtml?visit=1. [Google Scholar]
- 13.The National Survey of Stroke. National Institute of Neurological and Communicative Disorders and Strokes. Stroke. 1981;12 suppl 1:I-1–I-91. [PubMed] [Google Scholar]
- 14.Yoshida K, Shimizugawa T, Ono M, Furukawa H. Angiopoietin-like protein 4 is a potent hyperlipidemia-inducing factor in mice and inhibitor of lipoprotein lipase. J Lipid Res. 2002;43:1770–1772. doi: 10.1194/jlr.c200010-jlr200. [DOI] [PubMed] [Google Scholar]
- 15.Desai U, Lee EC, Chung K, Gao C, Gay J, Key B, Hansen G, Machajewski D, Platt KA, Sands AT, Schneider M, Van Sligtenhorst I, Suwanichkul A, Vogel P, Wilganowski N, Wingert J, Zambrowicz BP, Landes G, Powell DR. Lipid-lowering effects of antiangiopoietin-like 4 antibody recapitulate the lipid phenotype found in angiopoietin-like 4 knockout mice. Proc Natl Acad Sci U S A. 2007;104:11766–11771. doi: 10.1073/pnas.0705041104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lichtenstein L, Berbée JFP, van Dijk SJ, van Dijk KW, Bensadoun A, Kema IP, Voshol PJ, Müller M, Rensen PCN, Kersten S. Angptl4 upregulates cholesterol synthesis in liver via inhibition of LPL- and HL-dependent hepatic cholesterol uptake. Arterioscler Thromb Vasc Biol. 2007;27:2420–2427. doi: 10.1161/ATVBAHA.107.151894. [DOI] [PubMed] [Google Scholar]
- 17.Köster A, Chao YB, Mosior M, Ford A, Gonzalez-DeWhitt PA, Hale JE, Li D, Qiu Y, Fraser CC, Yang DD, Heuer JG, Jaskunas SR, Eacho P. Transgenic angiopoietin-like (angptl)4 overexpression and targeted disruption of angpt14 and angpt13: regulation of triglyceride metabolism. Endocrinology. 2005;146:4943–4950. doi: 10.1210/en.2005-0476. [DOI] [PubMed] [Google Scholar]
- 18.Sukonina V, Lookene A, Olivecrona T, Olivecrona G. Angiopoietin-like protein 4 converts lipoprotein lipase to inactive monomers and modulates lipase activity in adipose tissue. ProcNatl Acad Sci U S A. 2006;103:17450–17455. doi: 10.1073/pnas.0604026103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chen Y, Zhu J, Lum PY, Yang X, Pinto S, MacNeil DJ, Zhang C, Lamb J, Edwards S, Sieberts SK, Leonardson A, Castellini LW, Wang S, Champy MF, Zhang B, Emilsson V, Doss S, Ghazalpour A, Horvath S, Drake TA, Lusis AJ, Schadt EE. Variations in DNA elucidate molecular networks that cause disease. Nature. 2008;452:429–435. doi: 10.1038/nature06757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yost TJ, Jensen DR, Eckel RH. Tissue-specific lipoprotein lipase: relationships to body composition and body fat distribution in normal weight humans. Obes Res. 1993;1:1–4. doi: 10.1002/j.1550-8528.1993.tb00002.x. [DOI] [PubMed] [Google Scholar]
- 21.Cambien F, Tiret L. Genetics of cardiovascular diseases: From single mutations to the whole genome. Circulation. 2007;116:1714–1724. doi: 10.1161/CIRCULATIONAHA.106.661751. [DOI] [PubMed] [Google Scholar]


