• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of jcinvestThe Journal of Clinical InvestigationCurrent IssueArchiveSubscriptionAbout the Journal
J Clin Invest. Jan 5, 2009; 119(1): 70–79.
Published online Dec 15, 2008. doi:  10.1172/JCI37118
PMCID: PMC2613476

Rare loss-of-function mutations in ANGPTL family members contribute to plasma triglyceride levels in humans

Abstract

The relative activity of lipoprotein lipase (LPL) in different tissues controls the partitioning of lipoprotein-derived fatty acids between sites of fat storage (adipose tissue) and oxidation (heart and skeletal muscle). Here we used a reverse genetic strategy to test the hypothesis that 4 angiopoietin-like proteins (ANGPTL3, -4, -5, and -6) play key roles in triglyceride (TG) metabolism in humans. We re-sequenced the coding regions of the genes encoding these proteins and identified multiple rare nonsynonymous (NS) sequence variations that were associated with low plasma TG levels but not with other metabolic phenotypes. Functional studies revealed that all mutant alleles of ANGPTL3 and ANGPTL4 that were associated with low plasma TG levels interfered either with the synthesis or secretion of the protein or with the ability of the ANGPTL protein to inhibit LPL. A total of 1% of the Dallas Heart Study population and 4% of those participants with a plasma TG in the lowest quartile had a rare loss-of-function mutation in ANGPTL3, ANGPTL4, or ANGPTL5. Thus, ANGPTL3, ANGPTL4, and ANGPTL5, but not ANGPTL6, play nonredundant roles in TG metabolism, and multiple alleles at these loci cumulatively contribute to variability in plasma TG levels in humans.

Introduction

In individuals consuming Western diets, more than 100 grams of triglycerides (TGs) are transported each day from the liver and small intestines to peripheral tissues. The partitioning of TG between sites of storage (adipose tissue) and oxidation (primarily heart and skeletal muscle) is determined by the relative activity of lipoprotein lipase (LPL), an enzyme located on the lumenal surfaces of capillaries. LPL catalyzes the hydrolysis of the lipoprotein TG, releasing FFAs, which are taken up by adjacent tissues.

LPL activity is regulated at the transcriptional and posttranslational levels. The hormonal and nutritional milieu of tissues modulates transcription of the LPL gene (1). LPL is regulated at the posttranscriptional level by 2 angiopoietin-like proteins (ANGPTLs), ANGPTL3 and ANGPTL4 (2), which belong to a family of 7 structurally similar secreted proteins (ANGPTL1–ANGPTL7). The ANGPTL proteins contain a signal sequence followed by a helical domain predicted to form a coiled coil and a globular, fibrinogen-like domain at the C terminus (3). Both ANGPTL3 and ANGPTL4 inhibit LPL activity in vitro and in vivo (46), and mice lacking Angptl3 or Angptl4 have increased LPL activity and reduced levels of plasma TG (7, 8).

Although ANGPTL3 and ANGPTL4 both inhibit LPL activity, the 2 proteins have different patterns of expression. ANGPTL3 is expressed almost exclusively in liver (9), an organ that expresses little or no LPL in adults (1), and is presumed to function as a circulating inhibitor of LPL. In contrast to ANGPTL3, ANGPTL4 is expressed in multiple tissues, with the highest level of expression in mice being in adipose tissue (10). Originally, this member of the ANGPTL family was referred to as “fasting-induced adipocyte factor,” since its expression is highly induced by fasting (10). It has been proposed that ANGPTL4 inhibits LPL activity in adipose tissue to reroute fatty acids away from fat to muscle and other tissues during fasting (2).

A third member of the ANGPTL family, ANGPTL6 (also referred to as “angiopoietin-related growth factor”) has also been implicated in energy metabolism and lipid partitioning. Genetic deletion of Angptl6 in mice is associated with significant (>80%) embryonic lethality (11). Surviving Angptl6–/– mice are markedly obese and hyperinsulinemic and accumulate significant amounts of TG in liver and skeletal muscle. Circulating TG levels are not altered in these mice, but the levels of cholesterol and FFA in serum are increased. An ANGPTL6 transgene under the control of a β-actin promoter was expressed at high levels in multiple tissues (brown fat, heart, and skeletal muscle) and resulted in reduced white adipose tissue mass and resistance to diet-induced obesity (11).

The physiological roles of these ANGPTL proteins in humans have been inferred largely from studies in mice. Recently, we used a population-based resequencing strategy to examine the metabolic role of ANGPTL4 in humans (12). By resequencing the coding region and proximal intronic regions of ANGPTL4 in a multiethnic sample of 3,551 individuals, we showed that sequence variations that alter an amino acid (nonsynonymous [NS] sequence variations) in ANGPTL4 were more prevalent in individuals with TG levels in the lowest quartile than in the highest quartile (P = 0.016). One variant (E40K), which was present in approximately 3% of Americans of mixed European descent, was associated with significantly lower plasma levels of TG and LDL cholesterol (LDL-C) and higher levels of HDL cholesterol (HDL-C) in the Atherosclerosis Risk in Communities (ARIC) study and the Copenhagen City Heart Study (12). These findings confirmed that ANGPTL4 is involved in TG metabolism in humans and revealed that the protein also plays roles in the metabolism of HDL and LDL, which was not apparent from studies in genetically modified mice.

To glean insights into the physiological roles of the other ANGPTL family members in humans, we resequenced ANGPTL3, ANGPTL5, and ANGPTL6 in a large multiethnic population. We complemented these studies with cell-based and in vitro assay studies to examine the effects of the mutations identified on protein synthesis, secretion, and function. We found that 1% of participants in the Dallas Heart Study (DHS) and 4% of those with plasma TG in the lowest quartile had a rare loss-of-function mutation in ANGPTL3, -4, or -5. Functional studies showed that the mutant alleles of ANGPTL3 and ANGPTL4 had major detrimental effects on the synthesis, secretion, or function of the protein.

Results

ANGPTL mRNA levels in human tissues.

As a first test of the hypothesis that multiple members of the ANGPTL family regulate TG metabolism in different tissues, we examined the levels of mRNA from each gene in 48 human tissues (Figure (Figure1).1). Expression of ANGPTL3 was largely restricted to liver, consistent with the pattern seen previously in mice (9). The levels of ANGPTL4 mRNA were also highest in liver, with the next highest level being in the pericardium. The level of the ANGPTL4 transcript in adipose tissue was only 10% that found in liver, despite fat having the highest expression level of ANGPTL4 in mice (10). Low levels of ANGPTL4 transcript (<10% of liver) were also present in the adrenal glands, lung, pancreas, and placenta, with only trace amounts detected in other tissues.

Figure 1
Expression of ANGPTL3, ANGPTL4, ANGPTL5, and ANGPTL6 in human tissues.

ANGPTL5 was most highly expressed in adipose tissue, with the bronchus, epididymis, and vena cava having the next highest levels of expression.

The transcript was identified at very low levels in many other tissues. A previous study reported that ANGPTL5 was expressed most strongly in heart (13), but those authors did not examine mRNA from adipose tissue. Although we detected ANGPTL5 mRNA in the heart, it was present at only 20% of the level found in adipose tissue.

Finally, ANGPTL6 was expressed at the highest level in the liver and at much lower levels in other tissues.

Thus, 3 of the 4 ANGPTLs analyzed in this study (ANGPTL3, ANGPTL4, and ANGPTL6) were most highly expressed in the liver, and 2 of the 4 family members were expressed in adipose tissue (ANGPTL4 and ANGPTL5). This finding is consistent with the hypothesis that these genes coordinate fuel trafficking and homeostasis in response to changes in energy demands.

Multiple sequence variants in the coding regions of ANGPTL3, ANGPTL5, and ANGPTL6.

To develop a comprehensive inventory of sequence variations in the coding regions of ANGPTL3, ANGPTL5, and ANGPTL6, we sequenced the exons of the 3 genes in the DHS, a multiethnic, probability-based population (including 1,870 African Americans, 1,045 individuals of mixed European descent, and 601 Hispanics) as previously described (12). A total of 255 variants were identified, most of which were rare: more than half (155/255) were found in only a single individual, and 86% (220/255) had a minor allele frequency (MAF) below 1% (Supplemental Table 1; supplemental material available online with this article; doi: 10.1172/JCI37118DS1). NS variants were more common than synonymous variants in all 3 genes (97 vs. 27 variants). The density of coding sequence variants was similar in the 3 genes: 1 sequence substitution per 33 nucleotides in ANGPTL3 and ANGPTL5 and 1 substitution per 30 nucleotides in ANGPTL6.

To determine the phenotypic effects of sequence variations in the 3 genes, we stratified the DHS population by race, sex, and trait level for metabolic phenotypes associated with TG removal from the circulation (plasma TG level), TG accumulation (BMI and hepatic TG content), and indices of energy homeostasis (fasting blood glucose, fasting insulin, homeostatic model assessment — insulin resistance [HOMA-IR]). In addition, we tested for association with systolic blood pressure, diastolic blood pressure, and plasma levels of cholesterol, TG, HDL-C, and LDL-C. We used a strategy similar to that employed to assess the effect of rare sequence variations in other genes on quantitative traits (14, 15). For each phenotype we compared the number of individuals with NS sequence variants in the top and bottom quartiles (Table (Table1;1; ANGPTL4 was included for comparison). Any sequence variation present in both the top and the bottom quartiles was eliminated from the analysis.

Table 1
Numbers of individuals with NS sequence variations identified in ANGPTL3, ANGPTL4, ANGPTL5, and ANGPTL6 in the upper or lower quartile of the distribution of selected traits in the DHS

Rare and common sequence variations in ANGPTL3 are associated with reduced plasma TG levels.

A total of 35 NS sequence variations were identified in ANGPTL3 (Supplemental Table 2). An excess of sequence variants in the lower quartile for plasma TG levels (14 vs. 5 variants) approached the nominal significance threshold (P = 0.064; Figure Figure2A).2A). All sequences likely to be loss-of-function alleles (frameshift 122 [Fs122], FsQ192, and FsK455) were in the lowest quartile of TG levels, suggesting that decreased levels of circulating ANGPTL3 are associated with reduced plasma levels of TG. One of the missense mutations associated with a low plasma TG level, K63T, is predicted to disrupt a heparin binding motif (61VHKTKG66) that is required for LPL inhibition in mice (4).

Figure 2
Schematic representation of ANGPTL3 with positions of NS sequence variations identified in the upper and lower quartiles of TG distribution in the DHS.

To further examine the relationship between sequence variation in ANGPTL3 and plasma TG levels, we tested for association between plasma TG and the common SNPs at the locus (MAF >1%). None of these SNPs was associated with plasma TG levels (data not shown), except for M259T. M259T was present at appreciable frequency among African Americans (MAF = 5%) and was significantly associated with plasma TG levels (P = 0.006) in this ethnic group (Supplemental Table 3 and Figure Figure2B).2B). The allele was rare among individuals of mixed European descent (MAF, 0.1%). To validate this association, we assayed the M259T SNP in African Americans in the ARIC study (16) (Supplemental Table 3). This analysis confirmed that the M259T SNP was significantly associated with plasma levels of TG (P = 0.014). Taken together, these data indicate that a spectrum of sequence variants in ANGPTL3 contributes to variation in plasma TG levels.

The number of NS sequence variants in ANGPTL3 was similar in the upper and lower quartiles of the distribution for BMI (P = 0.235) and hepatic TG content (P = 0.773). Similarly, the common allele associated with plasma TG levels (M259T) was not associated with either parameter. A significant excess of NS sequence variants was found among individuals in the lowest quartile for blood glucose levels (16 vs. 3 variants; P = 0.002) in the DHS, but in both the DHS and in ARIC, the M259T variant was not associated with blood glucose, insulin, or with any of the other metabolic parameters examined (Supplemental Table 3). Taken together, these findings indicate that sequence variation in ANGPTL3 was associated with plasma levels of TG, but not with other indices of fat accumulation or metabolism, although we cannot exclude the possibility that some rare variants in ANGPTL3 affect plasma glucose levels.

Excess of rare sequence variations in ANGPTL5 in individuals with low plasma levels of TG.

A similar strategy was used to analyze the metabolic effects of sequence variations in ANGPTL5 (Figure (Figure3A),3A), a gene of unknown function that is not expressed in mice (13). A significant excess of NS variants was found in the lowest quartile of TG levels (n = 9) compared with the highest quartile (n = 1) (P = 0.022). No frameshift or nonsense mutations in this gene were identified in the lowest quartile, but a single mutation in a consensus splice donor site (IVS8+1) was found. Only 1 NS variant (T268M) in ANGPTL5 had a MAF of greater than 1%, and this variant was not consistently associated with plasma TG levels in the DHS or in ARIC (data not shown). Sequence variations in ANGPTL5 were not associated with any of the other metabolic phenotypes examined.

Figure 3
Schematic representation of ANGPTL5 and ANGPTL6 with positions of NS variants identified in the upper and lower quartiles of the TG distribution in the DHS.

Sequence variations in ANGPTL6 are not associated with plasma TG levels.

In contrast to ANGPTL3, ANGPTL4, and ANGPTL5, in which NS variants were significantly associated with plasma TG levels, we found no evidence of association between sequence variants in ANGPTL6 and plasma TG levels. The number of individuals with NS variants in ANGPTL6 did not differ significantly in the upper and lower quartiles of the TG distribution (Figure (Figure3B).3B). Two NS variants in ANGPTL6 had a MAF of greater than 1% (R96P and R358C). Neither of these variants was associated with TG levels in the DHS (data not shown). A statistically significant excess of NS variants in ANGPTL6 was found in upper quartile of plasma cholesterol levels when compared with the lowest quartile of cholesterol levels, but not in the upper quartile of LDL-C or HDL-C levels (Table (Table1).1).

Figure Figure3C3C summarizes the relationship between plasma TG levels and sequence variations in 3 of the ANGPTL family members analyzed in this paper (ANGPTL3, ANGPTL5, and ANGPTL6), together with data from our prior analysis of ANGPTL4. The numbers of individuals with NS variants in the top and bottom quartiles for plasma TG are given for each gene. As was observed for ANGPTL3 and ANGPTL5, sequence variations in ANGPTL4 were more common among individuals with plasma levels of TG in the lowest quartile compared with the highest quartile.

The majority of NS variants in ANGPTL3, ANGPTL4, and ANGPTL5 associated with low plasma TG levels interfere with protein secretion.

Several of the sequence variants in ANGPTL3, ANGPTL4, and ANGPTL5 that were found in the lowest quartile of plasma TG levels were nonsense, frameshift, or splice-site mutations (Figures (Figures22 and and3).3). This finding suggested that loss-of-function alleles of these genes are associated with low plasma TG levels. The remainder of the mutations found in the lowest quartile of TG levels were missense mutations. To determine whether these mutations also interfere with protein function, we generated cDNA expression constructs for each mutant allele and compared the expression and secretion of the mutant proteins with wild-type ANGPTL in cultured human embryonic kidney (HEK293A) cells. Immunoblot analysis of the cell lysates and the medium are shown in Figure Figure4A.4A. Whereas wild-type ANGPTL3 was readily detected in the medium, 5 of the 9 missense mutations present in the lowest TG quartile, but none of the 5 missense variants in the high-TG group abolished secretion of ANGPTL3 from cells.

Figure 4
Effects of sequence variations on the synthesis and secretion of ANGPTL3, ANGPTL4, and ANGPTL5.

Similarly, when the same experiment was performed to examine the NS sequence variants that we previously identified in ANGPTL4 (12), 5 of the 7 missense alleles had either a partial or complete deficit in ANGPTL4 secretion (Figure (Figure4B).4B).

Finally, in contrast to wild-type ANGPTL5 or the allele containing the missense mutation found in the high TG group (I233V) 3 of the 7 missense mutations in ANGPTL5 associated with a low plasma TG level failed to be secreted from the cells (Figure (Figure4C).4C).

Thus, of the 23 missense mutations in the 3 ANGPTL family members that were found in individuals in the lower quartile of plasma TGs, more than half (n = 13) impaired protein secretion, presumably by interfering with the proper folding of the protein. These mutations were located almost exclusively in the highly structured fibrinogen-like domains located at the C terminus of the proteins (Figure (Figure2).2).

Effects of ANGPTL3 and ANGPTL4 mutations on LPL-mediated hydrolysis of TG in vitro.

Previously, ANGPTL3 and ANGPTL4 were shown to inhibit LPL activity in vitro (6, 17). ANGPTL4 appears to disrupt catalytically active LPL dimers (17). To determine whether the ANGPTL variants identified in the lowest quartile of plasma TG levels that were secreted normally had a reduced ability to suppress LPL activity, we tested the effect of the mutant proteins on LPL activity in vitro. Addition of conditioned medium from cells expressing ANGPTL3 reproducibly suppressed LPL activity by more than 50% (Figure (Figure5A).5A). In contrast, conditioned media from cells expressing ANGPTL3-259T (Figure (Figure5A)5A) or the rare ANGPTL3 alleles associated with low plasma levels of TG (Figure (Figure5B)5B) failed to suppress LPL activity.

Figure 5
Effects of sequence variations in ANGPTL3 and ANGPTL4 on LPL activity.

Conditioned medium from cells expressing wild-type ANGPTL4 consistently suppressed LPL activity by more than 90% (Figure (Figure5C).5C). These data are consistent with prior data showing that ANGPTL4 has more potent inhibitory effect on LPL activity than does ANGPTL3 (5, 18). Conversely, when conditioned medium containing equivalent quantities of mutant ANGPTL4 proteins that were found in the low TG group was added to the lipase assay, no suppression of LPL activity was observed. Furthermore, the mutant ANGPTL4 proteins failed to suppress LPL even when added at concentrations 10-fold higher than those at which the wild-type protein completely inhibited the enzyme (data not shown). The inhibitory effects of both ANGPTL3 and ANGPTL4 were specific for the salt-sensitive component of post-heparin plasma lipase activity (data not shown). Both proteins had negligible effects on the salt-resistant lipase (hepatic lipase) activity.

ANGPTL5 was expressed at much lower levels than was ANGPTL4 and ANGPTL3, and we were unable to obtain comparable levels of this protein in the media. Therefore, we were unable to examine the effects of this protein on LPL activity. ANGPTL6 was efficiently secreted from cells but did not inhibit LPL activity at any of the concentrations tested (Figure (Figure5D).5D).

The mutations in ANGPTL3 and ANGPTL4 that interfered with their ability to inhibit LPL activity were in the N-terminal region of the protein, which is consistent with the observation of Sukonina et al. (17) that the N-terminal portion of ANGPTL4 interacts with the enzyme.

Comparison of in vitro and in silico analysis of ANGPTL mutations.

A total of 31 NS variants were identified in the low-TG group and 8 in the high-TG group (Table (Table2).2). Of the 31 variants in the low-TG group, 8 (26%) introduced a premature termination codon or altered a consensus splice site, 13 interfered with secretion of the protein from cells (Figure (Figure4),4), and 6 resulted in proteins that were secreted but failed to inhibit LPL activity. Thus, for ANGPTL3 and ANGPTL4, all variants found only in the low-TG group severely compromised the function of the protein. Three of the 7 mutations in ANGPTL5 prevented expression or secretion; we were not able to assess the effects of the remaining 4 mutations on LPL activity.

Table 2
Observed and predicted functional effects of the NS variants in ANGPTLs in the top and bottom quartiles of the DHS

Multiple in silico programs have been developed to predict the functional effects of sequence variations, although these perform with variable success (19). Our analysis allowed us to assess the utility of 2 computer programs, PolyPhen (20) and SIFT (21), which predict the functional consequences of amino acid substitutions. PolyPhen correctly predicted 10 of the 19 mutations (53%), whereas SIFT predicted 12 of the variations (63%). Of the 7 variants that showed no functional defect, 2 were predicted to be deleterious by PolyPhen and 3 were predicted to be deleterious by SIFT. Thus, the false positive rates were 29% and 43% for PolyPhen and SIFT, respectively.

Cumulative analysis of rare NS sequence variations in ANGPTL3, ANGPTL4, ANGPTL5, and plasma TG levels.

To assess the cumulative effects of rare variants in the 3 genes in the DHS, we pooled the data for ANGPTL3, ANGPTL4, and ANGPTL5 and found a greater than 4-fold excess of individuals with NS sequence variations in the low-TG group (n = 36) compared with the high-TG group (n = 8) (Figure (Figure6).6). The total number of synonymous sequence variations (n = 8) was identical in the high-TG and low-TG groups. Although each variant was rare (MAF, <1%), taken together, 1 of every 24 participants (4%) in DHS with TG levels below the 25th percentile had a NS variant in 1 of these 3 genes.

Figure 6
Cumulative frequency of NS and synonymous sequence variations in ANGPTL3, ANGPTL4, and ANGPTL5 in the upper and lower quartiles of plasma TG distribution in the DHS.

Discussion

In this study we used resequencing in a well-phenotyped population of unselected individuals to define the physiological roles of ANGPTL proteins in humans. The major finding was that multiple loss-of-function alleles in ANGPTL3 and ANGPTL5, together with those previously reported in ANGPTL4 (12), are associated with lower plasma levels of TG, suggesting a common role for these proteins in the metabolism of TG-rich lipoproteins. One percent of participants in the DHS (and 4% of those with a TG in the lowest quartile) had a rare sequence variant in 1 of these 3 genes that was associated with low plasma levels of TG. Most of the sequence variants identified in this study prevented (or markedly reduced) secretion of the mutant proteins from cells. Resequencing also revealed an allele of ANGPTL3 that was common in African Americans and was significantly associated with plasma TG levels in 2 large populations. The sequence variants associated with low plasma TG levels were not associated with the amount of fat in the body or in the liver or with indices of glucose metabolism. Taken together, these findings indicate that ANGPTL3, ANGPTL4, and ANGPTL5 regulate the uptake of TG-derived fatty acids from the circulation but do not have a major impact on the overall accumulation of TG in the body, on the partitioning of TG between the liver and peripheral tissues, or on the efficiency of glucose utilization.

Genetic manipulation of mice is a powerful and widely used strategy to assess the physiological roles of genes. The finding that a reduction in plasma TG levels is the major consequence of loss-of-function mutations in ANGPTL3 and ANGPTL4 both in humans and in mice affirms the value of mouse models for metabolic studies. However, other phenotypes observed in Angptl-knockout mice were not recapitulated in humans with loss-of-function alleles in these genes. In mice, genetic deletion of Angptl3 is associated with an approximately 50% reduction in plasma levels of HDL-C, perhaps due to increased activity of endothelial lipase, an enzyme that hydrolyzes HDL phospholipids (22, 23). Since ANGPTL3 inhibits endothelial lipase in vitro, it has been proposed that ANGPTL3 normally suppresses endothelial lipase–mediated catabolism of HDL, resulting in higher plasma levels of HDL (22, 24). In support of this model, inactivation of Angptl3 in vivo, either genetically or enzymatically, is associated with a substantial reduction in HDL phospholipid and HDL-C levels in mice (22, 24). In the present study, loss-of-function mutations in ANGPTL3 were not associated with a decrease in plasma levels of HDL-C. Thus, our data are not consistent with a significant role for ANGPTL3 in determining plasma levels of HDL-C in humans.

Angptl6–/– mice are obese and have both hepatic steatosis and hyperinsulinemia (11). We found no evidence that genetic variability in ANGPTL6 contributes to BMI, hepatic TG content or fasting glucose or insulin levels in humans. The apparent differences in the phenotypic effects of Angptl6 mutations in mice and humans may be due to loss-of-function alleles at this locus being recessive in humans. We did not identify any individuals in the DHS with mutations in both ANGPTL6 alleles. Alternatively, only a single line of Angptl6 knockout mice has been described (11), and some of the phenotypic effects reported in that mouse line may be due to factors unrelated to the inactivation of Angptl6. These findings underscore the essential role for human studies in validating observations from model organisms.

The association between sequence variations in ANGPTL5 and plasma TG levels demonstrates that the reverse genetic strategy employed in this study can provide insights into the physiological roles of genes even without a priori information from physiological studies or observations in model systems. ANGPTL5 was initially identified during a large-scale sequencing study of a human fetal brain library (25). No ortholog of ANGPTL5 has been identified in mice, and functional analysis of the protein is limited to a single report in which recombinant ANGPTL5 was shown to support ex vivo expansion of human cord blood hematopoietic stem cells (26). The observation that loss-of-function mutations in ANGPTL5 are associated with low plasma levels of TG suggests that ANGPTL5 also plays a role in the metabolism of TG-rich lipoproteins. We believe that this finding provides the first insight into the physiological function of ANGPTL5 in humans.

Recently, 2 large genome-wide association studies reported that plasma levels of TG were associated with multiple sequence variants spanning a 250-kb interval on chromosome 7 that contains ANGPTL3, DOK7, and USP1 (27, 28). The specific variants responsible for the associations were not identified. The ANGPTL3 alleles identified in the present study are unlikely to explain these associations, since all the sequence variations found in individuals of mixed European descent, the population represented in the genome-wide association studies, were rare. The only common ANGPTL3 allele (ANGPTL3-259T) associated with plasma TG levels was largely restricted to African Americans and had a frequency of 0.1% in individuals of mixed European descent. Taken together, these findings indicate that a spectrum of rare and common sequence variants in ANGPTL3 contributes to variation in plasma TG levels in the general population. No sequence variants in ANGPTL4 or ANGPTL5 reached genome-wide significance in either study.

The observation that sequence variations in ANGPTL3, ANGPTL4, and ANGPTL5 contribute independently to plasma TG levels indicates that the 3 proteins are not functionally redundant. Since ANGPTL3 and ANGPTL4 are both expressed primarily in the liver in humans, and loss-of-function mutations in the 2 genes are associated with very similar lipoprotein phenotypes, it is possible that the 2 proteins function as a heterodimer. Both proteins contain coiled coil domains as well as a fibrinogen domain at the C terminus, and prior studies have shown that ANGPTL4 forms higher-order oligomers (29) and that oligomerization is required for activity (30). Coexpression of the 2 proteins in cultured cells (including cultured hepatoctyes) failed to reveal any evidence that they form a stable complex (data not shown), but additional studies in different cell types will be required to rule out this possibility.

An alternative possibility is that ANGPTL3, ANGPTL4, and ANGPTL5 perform similar roles but in different tissues or different metabolic states. This hypothesis is consistent with our finding that ANGPTL3, ANGPTL4, and ANGPTL5 have different patterns of expression (Figure (Figure1)1) and with previous reports that ANGPTL4 is strongly upregulated by fasting and is suppressed by refeeding (10), whereas ANGPTL3 mRNA levels do not change significantly in response to changes in food intake (18). Further studies will be required to determine the specific effects of ANGPTL3, ANGPTL4, and ANGPTL5 on the uptake of TG-derived fatty acids in different tissues and under different nutritional states.

Interestingly, the mutations we identified in these 4 members of the ANGPTL family were not evenly distributed among the 3 major ethnic groups in the DHS. The majority of rare mutations in ANGPTL4 (8 of 13), as well as a common sequence variation in this gene (E40K) that was associated with lower plasma TG levels (E40K) were found in individuals of mixed European descent (12). Conversely, 10 of the 13 alleles in ANGPTL3 identified in the low-TG group were present in African Americans, and a common allele associated with low plasma TG levels (M259T) was also largely restricted to this population. In contrast to these 2 genes, in which the mutations clustered in a single ethnic group, the NS sequence variations identified in ANGPTL5 were found in all 3 ethnic groups in approximately equal proportion (Figure (Figure3). 3). Hispanics were over-represented among those individuals in the highest quartile of TG who had mutations in ANGPTL6 (Figure (Figure3).3). These ethnic differences in allele frequencies may reflect historic differences in selective pressures among the 3 ethnic groups.

The finding that approximately 1% of the individuals in this study had a sequence variant that profoundly altered protein function is consistent with our findings in other genes (14, 31, 32) and with in silico predictions from Sunyaev and colleagues that about 1% of the alleles of a typical 500–amino acid protein will contain a deleterious mutation (33). Thus severe loss-of-function mutations, though individually rare, are collectively common in the population. This observation provides a strategy for reverse genetics in humans. Historically, the major advances in human genetics have been made almost exclusively by using forward genetic approaches in which individuals are selected based on a phenotypic classification and then screened for causal sequence variations. Reverse genetic approaches have been highly informative in model organisms, where genetic manipulations can be performed to assess the phenotypic consequences of inactivation, overexpression, or alteration of the sequence of a gene, but these approaches have played little role in human genetics. Since it is not feasible to manipulate genes in humans, human geneticists rely on naturally occurring variations that are almost invariably ascertained indirectly as a consequence of their associated phenotypes. Advances in sequencing technology are poised to shift the focus of resequencing from selected candidate genes to the entire exome, and possibly to the genome. By resequencing large cohorts of well-characterized individuals, the sequence variants identified can be tested against multiple traits to determine the roles of genes to human physiology.

Methods

Study populations.

The coding regions of the ANGPTL3, ANGPTL5, and ANGPTL6 gene were sequenced in all DHS participants (n = 3,551) who underwent phlebotomy (34). The DHS is a population-based probability sample of Dallas County (52% African American, self-identified as “black;” 29% individuals of mixed European descent, self-identified as “white;” 17% self-identified as “Hispanic;” and 2% of other ethnicities), in which ethnicity was self-assigned according to US census categories. Only the individuals of mixed European descent, African Americans, and Hispanics were included in our analysis. The DHS was approved by the Institutional Review Board of the University of Texas Southwestern Medical Center, and all subjects provided written informed consent before participating in the study.

A subset of the genetic associations observed in the DHS were validated in the ARIC study (16). The ARIC study is a prospective study of atherosclerosis in 4 communities in the USA (Jackson, Mississippi; Minneapolis, Minnesota; Forsyth County, North Carolina; and Washington County, Maryland). A randomly selected cohort of approximately 4,000 individuals ages 45–64 years was selected from each community. The protocol for the study was approved by the institutional review boards of the Johns Hopkins University, the University of North Carolina, the University of Minnesota, and the University of Mississippi, and all participants provided written informed consent that included consent for genetic studies.

Assay of plasma lipids and lipoproteins.

Plasma and lipoprotein cholesterol and TG concentrations were determined colorimetrically by using commercial enzymatic reagents.

DNA sequencing and genotyping.

The exons and flanking introns of ANGPTL3, ANGPTL5, and ANGPTL6 were sequenced in both directions in the 3,551 DHS participants, as previously described (12). All sequence variants identified were verified by manual inspection of the chromatograms, and missense changes were confirmed by an independent resequencing reaction.

Fluorogenic 5′-nucleotidase assays to detect the M259T polymorphism in ANGPTL3 were developed using the TaqMan assay system (Applied Biosystems). The assays were performed on a 7900HT Fast Real-Time PCR instrument with probes and reagents purchased from Applied Biosystems.

Expression of ANGPTL in cultured cells.

Expression constructs for human ANGPTL3, ANGPTL4, ANGPTL5, and ANGPTL6 were made in pcDNA3.1 (Supplemental Table 4) under the control of the cytomegalovirus promoter-enhancer (pCMV-ANGPTL3-V5, pCMV-ANGPTL4-V5, pCMV-ANGPTL5-V5). A V5 epitope tag (GKPIPNPLLGLDST) was placed at the C-terminus of each construct. Single base pair changes were introduced into these constructs using QuikChange (Stratagene). The presence of the desired mutation and the fidelity of each construct were confirmed by DNA sequencing.

HEK293A cells were seeded (1 × 105 cells/well) in 6-well plates and grown in DMEM with 10% fetal calf serum (Cellgro). Expression plasmids (4 μg/well) were used to transfect HEK293A cells using Lipofectamine 2000 (2.5 μl/μg of plasmid DNA) in DMEM according to the manufacturer’s protocol (Invitrogen). After 48 h, the medium was collected and centrifuged for 5 min (5,000 g at 4°C) and the supernatants were collected. The cells were washed twice in PBS and then incubated in 0.3 ml of 1× RIPA buffer (50 mM Tris, pH 8.0, 150 mM NaCl, 1% [vol/vol] NP-40, 0.5% [vol/vol] sodium deoxycholate, 0.1 % SDS, and complete mini EDTA-free protease inhibitor cocktail [Roche]) for 15 min at 4°C. Cells were harvested by scraping with a rubber policeman and transferred to 1.5-ml tubes prior to centrifugation for 15 min (15,000 g at 4°C). Aliquots from the medium and cells were subjected to SDS-PAGE and immunoblot analysis.

SDS-PAGE and immunoblot analysis.

Protein concentrations in the cell lysates were determined using the Bio-Rad bicinchoninic acid assay, according to the manufacturer’s protocol. Equivalent amounts of protein from the cell lysate and medium were added to the sample loading buffer (final concentration of 1×). The samples were heated to 95°C for 5 min, size-fractionated on 12% SDS-polyacrylamide gels at 150 V, and then transferred to nitrocellulose membranes at 100 V for 1 h. Membranes were incubated in PBST buffer (1× PBS plus 0.1% Tween-20) with 5% dry milk for 60 min at room temperature before addition of the primary antibodies. Monoclonal anti-V5 antibody (Invitrogen) and a polyclonal antibody to calnexin (Stressgen) were diluted to 1:5,000 in PBST buffer with 5% dry milk and incubated with the membranes for 60 min. Membranes were washed 3 times for 10 min each time in PBST buffer. Horseradish peroxidase–conjugated donkey anti-rabbit IgG or goat anti-mouse IgG (Pierce Biotechnology) was diluted (1:10,000) in PBST buffer with 5% dry milk and incubated with membranes for 60 min. Membranes were washed 3 times for 10 min each time in PBST and were visualized using SuperSignal-enhanced chemiluminescence (Pierce Biotechnology).

In vitro assay of LPL.

LPL activity assay was measured using a modification of the procedure described by Nilsson-Ehle and Schotz (35). Media harvested from HEK293A cells transfected with ANGPTL expression constructs were concentrated 8-fold and buffer-exchanged into 1× PBS (pH 7.4). The concentrated media were mixed with 7.5 μl mouse post-heparin plasma, brought up to a volume of 50 μl with 0.2 M Tris HCl buffer (pH 8.0), and incubated at 20°C or 25°C. Radiolabeled substrate (16.7 μl) composed of 9,10-3H(N) triolein (American Radiolabeled Chemicals), triolein and phosphatidylcholine (Sigma-Aldrich), 16.7 μl heat-inactivated fetal calf serum, and bovine serum albumin (3% in 66.6 μl of 0.2 M Tris HCl buffer [pH 8.0]) were added and the mixtures were incubated for 15 min at 37°C in the presence or absence of 1 M NaCl, which inhibits LPL activity (36). The reactions were terminated by adding heptane/chloroform/methanol (1:1.25:1.41), mixed, and centrifuged at 3,000 g for 15 min. A 1-ml aliquot of upper (aqueous) phase was taken into scintillation tubes and counted. The amount of [3H]-fatty acid released was calculated as previously described (35).

Real-time PCR.

The expression of ANGPTL3, -4, -5, and -6 in human tissues was examined using cDNA prepared from 48 tissues (Human Normal cDNA Panel). The cDNA was standardized to 2 ng using GAPDH as a calibrator. Oligonucleotides specific to each gene were used to amplify by PCR in 2× SYBR Green PCR Master Mix (Applied Biosystems) in a total volume of 66 μl according to the manufacturer’s instructions. For each gene, the tissue expressing the highest activity was used as a reference and assigned an arbitrary expression level of 1. The mean of the 3 CT measurements in each tissue was expressed as a fraction of the level observed in the highest-expressing tissue.

Statistics.

The prevalence of NS variants in the upper and lower quartiles of the DHS was compared using Fisher’s exact test. Individuals with diabetes, as defined previously (12), and subjects on lipid-lowering medications were not included in the analysis. Men who consumed more than 30 g (and women who consumed more than 20 g) of alcohol per day were also excluded from the analyses. Risk factor levels between carriers of each ANGPTL variant with a MAF of greater than 1% and noncarriers were compared by ANOVA. For the comparisons of plasma lipid levels between the genotype groups, we included age, sex, and diabetes mellitus as covariates in the model. Plasma levels of TG and insulin were log-transformed before analysis.

Supplementary Material

Supplemental data:

Acknowledgments

We thank Zifen Wang, Liangcai Nie, Wendy Schackwitz, Anna Ustaszewska, Joel Martin, and Crystal Wright for excellent technical assistance, Kim Lawson for statistical analysis, and Susan Lakoski for helpful discussions. This work was supported by a grant from the Donald W. Reynolds Foundation, a grant from the NIH (RL1- HL-092550 and HL-20948), and the American Heart Association Texas Affiliate Fellowship (to S. Romeo).

Footnotes

Authorship note: Stefano Romeo and Wu Yin contributed equally to this work.

Conflict of interest: The authors have declared that no conflict of interest exists.

Nonstandard abbreviations used: ANGPTL, angiopoietin-like protein; ARIC, Atherosclerosis Risk in Communities (study); DHS, Dallas Heart Study; Fs, frameshift; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; LPL, lipoprotein lipase; MAF, minor allele frequency; NS, nonsynonymous; TG, triglyceride.

Citation for this article: J. Clin. Invest. 119:70–79 (2009). doi:10.1172/JCI37118

References

1. Merkel M., Eckel R.H., Goldberg I.J. Lipoprotein lipase: genetics, lipid uptake, and regulation. J. Lipid Res. 2002;43:1997–2006. doi: 10.1194/jlr.R200015-JLR200. [PubMed] [Cross Ref]
2. Li C. Genetics and regulation of angiopoietin-like proteins 3 and 4. Curr. Opin. Lipidol. 2006;17:152–156. [PubMed]
3. Yoon J.C., et al. Peroxisome proliferator-activated receptor gamma target gene encoding a novel angiopoietin-related protein associated with adipose differentiation. Mol. Cell. Biol. 2000;20:5343–5349. doi: 10.1128/MCB.20.14.5343-5349.2000. [PMC free article] [PubMed] [Cross Ref]
4. Ono M., et al. Protein region important for regulation of lipid metabolism in angiopoietin-like 3 (ANGPTL3): ANGPTL3 is cleaved and activated in vivo. J. Biol. Chem. 2003;278:41804–41809. doi: 10.1074/jbc.M302861200. [PubMed] [Cross Ref]
5. 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. [PubMed] [Cross Ref]
6. Shimizugawa T., et al. ANGPTL3 decreases very low density lipoprotein triglyceride clearance by inhibition of lipoprotein lipase. J. Biol. Chem. 2002;277:33742–33748. doi: 10.1074/jbc.M203215200. [PubMed] [Cross Ref]
7. Koishi R., et al. Angptl3 regulates lipid metabolism in mice. Nat. Genet. 2002;30:151–157. doi: 10.1038/ng814. [PubMed] [Cross Ref]
8. Koster A., et al. Transgenic angiopoietin-like (angptl)4 overexpression and targeted disruption of angptl4 and angptl3: regulation of triglyceride metabolism. Endocrinology. 2005;146:4943–4950. doi: 10.1210/en.2005-0476. [PubMed] [Cross Ref]
9. Conklin D., et al. Identification of a mammalian angiopoietin-related protein expressed specifically in liver. Genomics. 1999;62:477–482. doi: 10.1006/geno.1999.6041. [PubMed] [Cross Ref]
10. Kersten S., et al. Characterization of the fasting-induced adipose factor FIAF, a novel peroxisome proliferator-activated receptor target gene. J. Biol. Chem. 2000;275:28488–28493. doi: 10.1074/jbc.M004029200. [PubMed] [Cross Ref]
11. Oike Y., et al. Angiopoietin-related growth factor antagonizes obesity and insulin resistance. Nat. Med. 2005;11:400–408. doi: 10.1038/nm1214. [PubMed] [Cross Ref]
12. Romeo S., et al. Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL. Nat. Genet. 2007;39:513–516. doi: 10.1038/ng1984. [PMC free article] [PubMed] [Cross Ref]
13. Zeng L., et al. Identification of a novel human angiopoietin-like gene expressed mainly in heart. J. Hum. Genet. 2003;48:159–162. [PubMed]
14. Cohen J.C., et al. Multiple rare alleles contribute to low plasma levels of HDL cholesterol. Science. 2004;305:869–872. doi: 10.1126/science.1099870. [PubMed] [Cross Ref]
15. Cohen J., et al. Multiple rare variants in NPC1L1 associated with reduced sterol absorption and plasma low-density lipoprotein levels. Proc. Natl. Acad. Sci. U. S. A. 2006;103:1810–1815. doi: 10.1073/pnas.0508483103. [PMC free article] [PubMed] [Cross Ref]
16. Atherosclerosis Risk in Communities Study. 1987. ARIC manual of operations: No 2, cohort component procedures. ARIC Coordinating Center, School of Public Health, University of North Carolina. Chapel Hill, North Carolina, USA.
17. 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. Proc. Natl. Acad. Sci. U. S. A. 2006;103:17450–17455. doi: 10.1073/pnas.0604026103. [PMC free article] [PubMed] [Cross Ref]
18. Ge H., et al. Differential regulation and properties of angiopoietin-like proteins 3 and 4. . J. Lipid Res. 2005;46:1484–1490. doi: 10.1194/jlr.M500005-JLR200. [PubMed] [Cross Ref]
19. Kotowski I.K., et al. A spectrum of PCSK9 alleles contributes to plasma levels of low-density lipoprotein cholesterol. Am. J. Hum. Genet. 2006;78:410–422. doi: 10.1086/500615. [PMC free article] [PubMed] [Cross Ref]
20. Sunyaev S., et al. Prediction of deleterious human alleles. Hum. Mol. Genet. 2001;10:591–597. doi: 10.1093/hmg/10.6.591. [PubMed] [Cross Ref]
21. Ng P.C., Henikoff S. SIFT: Predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–3814. doi: 10.1093/nar/gkg509. [PMC free article] [PubMed] [Cross Ref]
22. Shimamura M., et al. Angiopoietin-like protein3 regulates plasma HDL cholesterol through suppression of endothelial lipase. Arterioscler. Thromb. Vasc. Biol. 2007;27:366–372. doi: 10.1161/01.ATV.0000252827.51626.89. [PubMed] [Cross Ref]
23. McCoy M.G., et al. Characterization of the lipolytic activity of endothelial lipase. J. Lipid Res. 2002;43:921–929. [PubMed]
24. Jin W., et al. Hepatic proprotein convertases modulate HDL metabolism. Cell Metab. 2007;6:129–136. doi: 10.1016/j.cmet.2007.07.009. [PMC free article] [PubMed] [Cross Ref]
25. Xu J., et al. Cloning, expression and characterization of a novel human REPS1 gene. Biochim. Biophys. Acta. 2001;1522:118–121. [PubMed]
26. Zhang C.C., Kaba M., Iizuka S., Huynh H., Lodish H.F. Angiopoietin-like 5 and IGFBP2 stimulate ex vivo expansion of human cord blood hematopoietic stem cells as assayed by NOD/SCID transplantation. Blood. 2008;111:3415–3423. doi: 10.1182/blood-2007-11-122119. [PMC free article] [PubMed] [Cross Ref]
27. Willer C.J., et al. Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nat. Genet. 2008;40:161–169. doi: 10.1038/ng.76. [PubMed] [Cross Ref]
28. Kathiresan S., et al. Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans. Nat. Genet. 2008;40:189–197. doi: 10.1038/ng.75. [PMC free article] [PubMed] [Cross Ref]
29. Ge H., et al. Oligomerization and regulated proteolytic processing of angiopoietin-like protein 4. J. Biol. Chem. 2004;279:2038–2045. doi: 10.1074/jbc.M307583200. [PubMed] [Cross Ref]
30. Ge H., Yang G., Yu X., Pourbahrami T., Li C. Oligomerization state-dependent hyperlipidemic effect of angiopoietin-like protein 4. J. Lipid Res. 2004;45:2071–2079. doi: 10.1194/jlr.M400138-JLR200. [PubMed] [Cross Ref]
31. Cohen J., et al. Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9. Nat. Genet. 2005;37:161–165. doi: 10.1038/ng1509. [PubMed] [Cross Ref]
32. Fahmi S., Yang C., Esmail S., Hobbs H.H., Cohen J.C. Functional characterization of genetic variants in NPC1L1 supports the sequencing extremes strategy to identify complex trait genes. Hum. Mol. Genet. 2008;17:2101–2107. doi: 10.1093/hmg/ddn108. [PMC free article] [PubMed] [Cross Ref]
33. Kryukov G.V., Pennacchio L.A., Sunyaev S.R. Most rare missense alleles are deleterious in humans: implications for complex disease and association studies. Am. J. Hum. Genet. 2007;80:727–739. doi: 10.1086/513473. [PMC free article] [PubMed] [Cross Ref]
34. Victor R.G., et al. The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health. Am. J. Cardiol. 2004;93:1473–1480. doi: 10.1016/j.amjcard.2004.02.058. [PubMed] [Cross Ref]
35. Nilsson-Ehle P., Schotz M.C. A stable, radioactive substrate emulsion for assay of lipoprotein lipase. J. Lipid Res. 1976;17:536–541. [PubMed]
36. Berbee J.F., van der Hoogt C.C., Sundararaman D., Havekes L.M., Rensen P.C. Severe hypertriglyceridemia in human APOC1 transgenic mice is caused by apoC-I-induced inhibition of LPL. . J. Lipid Res. 2005;46:297–306. doi: 10.1194/jlr.M400301-JLR200. [PubMed] [Cross Ref]
37. Szczepaniak L.S., et al. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am. J. Physiol. Endocrinol. Metab. 2004;288:E462–E468. doi: 10.1152/ajpendo.00064.2004. [PubMed] [Cross Ref]

Articles from The Journal of Clinical Investigation are provided here courtesy of American Society for Clinical Investigation
PubReader format: click here to try

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...