Int J Med Sci 2013; 10(2):124-132. doi:10.7150/ijms.5296 This issue
1. Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China;
2. Department of Cardiology, the People's Hospital of Laibin, Laibin 546100, Guangxi, China;
3. Department of Cardiology, the Fourth Affiliated Hospital, Guangxi Medical University, Liuzhou 545005, Guangxi, China.
Backgroud: Both alcohol consumption and the proprotein convertase subtilisin/kexin type 9 (PCSK9) gene polymorphism modulate serum lipid levels, but their interactions on serum lipid profiles are still unknown. The present study was undertaken to detect the interactions of PCSK9 E670G polymorphism and alcohol consumption on serum lipid levels.
Methods: Genotypes of the PCSK9 E670G in 1352 unrelated subjects (785 non-drinkers and 567 drinkers) were determined by polymerase chain reaction and restriction fragment length polymorphism combined with gel electrophoresis, and then confirmed by direct sequencing. The interactions between PCSK9 E670G genotypes and alcohol consumption on serum lipid parameters were detected by using a factorial design covariance analysis after controlling for potential confounders.
Results: The levels of serum triglyceride, high-density lipoprotein cholesterol, apolipoprotein (Apo) A1, and the ratio of ApoA1 to ApoB were higher in drinkers than in non-drinkers (P < 0.01 for all), whereas the levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and ApoB were lower in drinkers than in non-drinkers (P < 0.001 for all). The genotypic and allelic frequencies of PCSK9 E670G were not different between non-drinkers and drinkers (P > 0.05 for each). The subjects with AA genotype in non-drinkers had higher serum LDL-C levels than the subjects with AG genotype, whereas the subjects with AG genotype in drinkers had higher serum TC levels than the subjects with AA genotypes (P < 0.05 for each). The effects of alcohol consumption on TC and LDL-C levels depended upon genotypes, the subjects with AA genotype had lower serum TC and LDL-C levels in drinkers than in non-drinkers.
Conclusions: Alcohol consumption can modify the effects of the PCSK9 E670G polymorphism on serum TC and LDL-C levels. The subjects with AA genotype of the PCSK9 E670G benefit more from alcohol consumption than the subjects with AG genotype in decreasing serum TC and LDL-C levels.
Keywords: proprotein convertase subtilisin/kexin type 9 gene, polymorphism, alcohol consumption, lipids, interaction.
Light to moderate alcohol consumption has been shown to protect against the development of coronary artery disease (CAD) and mortality [1-3]. The dose-response relation between alcohol consumption and risk of CAD is J- or U-shaped [4,5]. The protective effects of regular, light to moderate alcohol consumption on CAD have been attributed to high serum high-density lipoprotein cholesterol (HDL-C) and apolipoprotein (Apo) A1 levels [6-10]. However, alcohol in doses > 30 g/day in both sexes can augment serum triglyceride (TG) levels . The alcohol intake of 60 g/day increases the TG levels by about 0.19 mg/dl per 1 gram of alcohol consumed . Although the effects of alcohol consumption on low-density lipoprotein cholesterol (LDL-C) appear to vary by specific patient types or patterns of alcohol intake, and perhaps by population and sex, this topic has been the focus of much recent research . A recent study in older Italian subjects (65-84 years) has found that alcohol consumption increases serum LDL-C levels . Another recent study of Turks also found increases in LDL-C, as well as in ApoB and TG, with alcohol in men, while women had decreased TG and no change in LDL-C or ApoB with alcohol . A decrease in LDL-C with increased alcohol intake has also been reported in some studies, but this effect is less consistent and probably depends on the combination of one or more unmeasured factors .
Proprotein convertase subtilisin-like kexin type 9 (PCSK9, OMIM 607786) is a newly discovered serine protease that plays a key role in LDL-C homeostasis by mediating LDL receptor (LDLR) breakdown through a post-transcriptional mechanism [16-19]. PCSK9 may also regulate ApoB-containing lipoprotein production and ApoB secretion [20,21], and promote production of nascent very low-density lipoprotein in the fasting state . Human PCSK9 gene is approximately 22 kb long, comprising the promoter region and 12 exons, and it is located on chromosome 1p32. The gene produces a mRNA of 3636 bp encoding a 692-amino acid glycoprotein. This protein, also called neural apoptosis regulated convertase, is a serine protease belonging to the protease K subfamily of subtilases. It is a subfamily of proteases largely involved in the processing of inactive precursor proteins to the active product and seems to be involved in the inactivation and degradation of LDLR [23-25]. Adenoviral-mediated over-expression of human PCSK9 in mice promotes the accumulation of LDL-C in the plasma but this response is absent in LDLR-deficient animals [18,19,26]. Recent studies show that PCSK9 binds directly to the extracellular domain of the LDLR [27,28] and increases its degradation . PCSK9 is expressed most abundantly in the liver, kidney, and small intestine . Several studies have found that missense mutations increasing the activity of PCSK9 (i.e., gain-of-function mutations) result in an increase of LDL-C levels and CAD [21,30-32] whereas nonsense mutations reducing PCSK9 activity (i.e., loss-of-function mutations) have the opposite effect, lowering LDL-C levels and reducing risk of CAD [33-35]. These findings reveal that PCSK9 activity is a major determinant of plasma levels of LDL-C in humans and make it an attractive therapeutic target for LDL-C lowering. Among the genetic variants of the PCSK9 gene, a common single nucleotide polymorphism (SNP), E670G (rs505151), in exon 12 deserved greater scrutiny, as it was responsible for an amino acid change that could potentially be associated with altered PCSK9 activity. The PCSK9 E670G SNP in humans has been found to be associated with modifications of serum LDL-C levels in some studies [36-41] but not in others [35,42-44]. The frequency of PCSK9 E670G SNP also varied significantly among different populations. For example, the frequency of G allele is rare in whites but present in approximately 24.8% of blacks . The minor-allele frequency (670G) in the Dallas Heart Study (DHS) was 3.6% in whites, 4.2% in Hispanics, and 26.0% in blacks . However, little is known about the interactions of PCSK9 E670G SNP and alcohol consumption on serum lipid concentrations. Therefore, the aim of the present study was to determine the interactions of PCSK9 E670G SNP and alcohol consumption on serum lipid levels.
A total of 1352 unrelated subjects were randomly selected from our previous stratified randomized cluster samples. Detailed description of the sampling in this cohort has been published [45,46]. Briefly, twenty villages were selected randomly from Lihu (12 villages) and Baxu (15 villages) communities (10 villages for each). Then, sexes and ages (15-20, 20-29, 30-39, 40-49, 50-59, 60-69, ≥ 70 years) in each village were stratified and the subjects were determined from the local population registers. The response rate of the subjects was 97.0% . The age of the subjects in this study ranged from 19 to 80 years, with an average age of 46.42 ± 13.97 years. There were 785 non-drinkers and 567 drinkers. All of the subjects were rural agricultural workers. The subjects with a history or evidence of diseases related to atherosclerosis, CAD and diabetes or fasting blood glucose ≥ 7.0 mmol/L determined by glucose meter have been excluded. None of them had been treated with β-adrenergic blocking agents and lipid-lowering drugs such as statins or fibrates. The present study was approved by the Ethics Committee of the First Affiliated Hospital, Guangxi Medical University. Informed consent was obtained from all subjects after they received a full explanation of the study.
Epidemiological data including demographics, socioeconomic status, personal and family history of disease, current pharmacotherapy, alcohol consumption, cigarette smoking, and physical activity were collected using standardized questionnaires. Each participant was asked if he/she has consumed alcohol in the past 12 months. If yes, the average daily/weekly number of drinks and “Liangs”(traditional Chinese unit, about 50 mL) consumed over the past year for rice wine, corn wine, rum, beer, or liquor was recorded. As a matter of fact, 90% of the wine drunk by the drinkers was corn wine, rice wine, and rum, in which the alcohol content is about 15%, 30%, and 10% (v/v); respectively. Average daily alcohol intake (grams of alcohol per day) was then calculated. Alcohol consumption was categorized into groups of grams of alcohol per day: 0 (non-drinker), < 25 and ≥ 25. Smoking status was categorized into groups of cigarettes per day: 0 (non-smoker), < 20 and ≥ 20. At the physical examination, several parameters, such as height, weight, and waist circumference were measured. Body mass index (BMI) was calculated. Sitting blood pressure was measured three times with the use of a mercury sphygmomanometer after the subjects had a 5-minute rest.
Venous blood samples were obtained from all subjects after at least 12 hours of fasting. The levels of serum total cholesterol (TC), TG, HDL-C, and LDL-C in samples were determined by enzymatic methods with commercially available kits. Serum ApoA1 and ApoB levels were detected by the immunoturbidimetric immunoassay using a commercial kit.
Genomic DNA was isolated from peripheral blood leukocytes using the phenol-chloroform method as previously described . The extracted DNA was maintained at 4°C until analysis. Genotyping of the PCSK9 E670G SNP was performed by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). PCR amplification was performed using 5'-CACGGTTGTGTCCCAAATGG-3' and 5'-GAGAGGGACAAGTCGGAACC-3' (Sangon, Shanghai, People's Republic of China) as the forward and reverse primer pairs; respectively. Each amplification reaction was performed using 100 ng of genomic DNA in 25 μL of reaction mixture consisting of 25 μmol/L of each primer, 200 μmol/L of each deoxynucleotide triphosphate, 2.5 μL of 10 × PCR buffer (100 mM Tris-HCl, pH 8.3, 500 mM KCl, 20 mM MgCl2, 1% Triton), and 2 units of Taq polymerase. After initial denaturizing at 94 °C for 5 min, the reaction mixture was subjected to 35 cycles of 30 s denaturation at 94 °C, 30 s annealing at 58 °C and extension 30 s at 72 °C, followed by a final 5 min extension at 72 °C. After electrophoresis on a 1.2% agarose gel with 0.5 μg/mL ethidium bromide, the amplification products were visualized under ultraviolet light. Then 2 U of Eam 1104I restriction enzyme was added directly to the PCR products (10 μL) and digested at 37 °C overnight. After restriction enzyme digestion of the amplified DNA, the genotypes were identified by electrophoresis on 2% agarose gels and visualized with ethidium-bromide staining ultraviolet illumination. Genotypes were scored by an experienced reader blinded to epidemiological data and serum lipid levels. Six samples (AA and AG genotypes in three; respectively) detected by the PCR-RFLP were also confirmed by direct sequencing. The PCR products were purified by low melting point gel electrophoresis and phenol extraction, and then the DNA sequences were analyzed in Shanghai Sangon Biological Engineering Technology & Services Co., Ltd., People's Republic of China.
The normal values of serum TC, TG, HDL-C, LDL-C, ApoA1 and ApoB levels, and the ratio of ApoA1 to ApoB in our Clinical Science Experiment Center were 3.10-5.17, 0.56-1.70, 0.91-1.81, 2.70-3.20 mmol/L, 1.00-1.78, 0.63-1.14 g/L, and 1.00-2.50; respectively [45,46].
Continuous variables are expressed as mean ± standard deviation (serum TG levels are presented as medians and interquartile ranges). Categorical variables are presented as percentages. Allele frequency was determined via direct counting, and the standard goodness-of-fit test was used to test the Hardy-Weinberg equilibrium. Differences in genotype distribution between the groups were estimated by using the chi-square test. The difference in general characteristics between non-drinkers and drinkers was tested by the Student's unpaired t-test (TG by the Wilcoxon-Mann-Whitney test). The association of genotypes with serum lipid parameters was tested by analysis of covariance (TG by the Wilcoxon-Mann-Whitney test). The co-variables include sex, age, BMI, hypertension, and cigarette smoking. The interactions between genotypes and alcohol consumption were assessed by using a factorial design covariance analysis after controlling for potential confounders including sex, age, BMI, hypertension, and cigarette smoking. In order to evaluate the association of serum lipid levels with genotypes (AA = 1, AG = 2), multiple linear regression analysis was also performed in the non-drinkers and drinkers; respectively. A P value of less than 0.05 was considered statistically significant.
The general characteristics of the two groups are shown in Table 1. The levels of body height, weight, the ratio of male to female, and the percentages of subjects who smoked cigarettes were higher in drinkers than in non-drinkers (P < 0.001 for all), whereas the levels of mean age and diastolic blood pressure were lower in drinkers than in non-drinkers (P < 0.01 for each). There were no significant differences in the levels of BMI, systolic blood pressure and pulse pressure between the two groups (P > 0.05 for all).
Serum lipid levels between non-drinkers and drinkers are also shown in Table 1. The levels of TG, HDL-C, ApoA1, and the ratio of ApoA1 to ApoB were higher in drinkers than in non-drinkers (P < 0.01 for all), whereas the levels of TC, LDL-C and ApoB were lower in drinkers than in non-drinkers (P < 0.001 for all).
General characteristics and serum lipid levels between non-drinkers and drinkers.
(n = 785)
(n = 567)
|Age (years)||47.36 ± 14.34||45.13 ± 13.35||2.904||0.004|
|Height (cm)||152.65 ± 8.59||158.01 ± 7.65||-11.847||0.000|
|Weight (kg)||54.21 ± 10.85||57.45 ± 8.77||-5.861||0.000|
|Body mass index (kg/m2)||23.23 ± 4.19||22.95 ± 2.55||1.413||0.158|
|Systolic blood pressure (mmHg)||131.28 ± 20.21||130.56 ± 16.27||0.700||0.484|
|Diastolic blood pressure (mmHg)||89.32 ± 11.76||82.89 ± 11.23||10.109||0.000|
|Pulse pressure (mmHg)||59.96 ± 16.03||47.67 ± 14.89||14.329||0.220|
|Cigarette smoking [n (%)]|
|Non-smoker||685 (87.2)||250 (44.1)|
|< 20 cigarettes/day||17 (2.2)||148 (26.1)|
|≥ 20 cigarettes/day||83 (10.6)||169 (29.8)||308.608||0.000|
|Alcohol consumption [n (%)]|
|< 25 g/day||-||372 (65.6)|
|≥ 25 g/day||-||195 (34.4)|
|Total cholesterol (mmol/L)||4.82 ± 1.05||4.61 ± 1.01||3.687||0.000|
|Triglyceride (mmol/L)||1.02 (0.72)||1.23 (0.91)||-5.226||0.000|
|HDL-C (mmol/L)||1.73 ± 0.44||1.82 ± 0.49||-3.538||0.000|
|LDL-C (mmol/L)||2.92 ± 0.80||2.55 ± 0.82||8.304||0.000|
|Apolipoprotein (Apo) A1 (g/L)||1.35 ± 0.29||1.52 ± 0.42||-8.802||0.000|
|ApoB (g/L)||0.92 ± 0.22||0.85 ± 0.25||5.450||0.000|
|ApoA1/ApoB||1.55 ± 0.49||1.66 ± 0.92||-2.839||0.005|
HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol. Data are expressed as percentage or mean ± SD [the values of triglyceride were presented as median (interquartile range)].
After the genomic DNA of the samples was amplified by PCR and imaged by 2% agarose gel electrophoresis, the PCR product of 440 bp nucleotide sequences could be seen in the samples (Figure 1A). The genotypes identified were named according to the presence or absence of the enzyme restriction sites, when an A to G transversion at 670 locus of the PCSK9 gene. The presence of the cutting site indicates the A allele, while its absence indicates the G allele (cannot be cut). Thus, AG genotype is heterozygote for the absence and presence of the site (bands at 440-, 290- and 150-bp), and AA genotype is homozygote for the presence of the site (bands at 290- and 150- bp; Figure 1A). The GG genotype was not detected in our study population. The genotypes detected by PCR-RFLP were also confirmed by sequencing; respectively (Figure 1B).
The genotypic and allelic frequencies of PCSK9 E670G in non-drinkers and drinkers are shown in Table 2. The distribution of genotypes followed the Hardy-Weinberg equilibrium. The frequencies of A and G alleles were 97.4% and 2.6% in non-drinkers, and 97.9% and 2.1% in drinkers (P > 0.05); respectively. The frequencies of AA and AG genotypes were 94.8% and 5.2% in non-drinkers, and 95.8% and 4.2% in drinkers (P > 0.05); respectively. There was no significant difference in the genotypic and allelic frequencies between males and females, or between < 25 and ≥ 25 g/day drinkers.
The levels of LDL-C in non-drinkers were different between the two genotypes (P < 0.05), the subjects with AA genotype had higher LDL-C levels than the subjects with AG genotype. The levels of TC in drinkers were different between the two genotypes (P < 0.05), the subjects with AG genotype had higher TC levels than the subjects with AA genotypes. There was no significant difference in the levels of TG, HDL-C, ApoA1, ApoB, and the ratio of ApoA1 to ApoB between AA and AG genotypes in the both groups (P > 0.05 for all).
The interactions between genotypes of the PCSK9 E670G and alcohol consumption on serum TC and LDL-C levels are also shown in Table 3. The subjects with AA genotype had lower serum TC and LDL-C levels in drinkers than in non-drinkers. There were no interactions between PCSK9 E670G genotypes and alcohol consumption on the levels of TG, HDL-C, ApoA1 and ApoB, and the ratio of ApoA1 to ApoB (P > 0.05 for all).
Multiple linear regression analysis showed that the levels of TC and LDL-C in non-drinkers were negatively correlated with the genotypes of PCSK9 E670G (P < 0.05 for each), whereas the levels of TC and TG in drinkers were positively associated with the genotypes of PCSK9 E670G (P < 0.05 for each; Table 4).
(A) Genotyping of the PCSK9 E670G SNP. Lane M, 100 bp marker ladder; lanes 1 and 2, PCR products of the samples (440 bp); lanes 3 and 4, AG genotype (440-, 290- and 150-bp); and lanes 5 and 6, AA genotype (290- and 150-bp). The GG genotype was not detected in our study population. (B) A part of the nucleotide sequence of the PCSK9 E670G SNP. AA and AG genotypes.
Genotypic and allelic frequencies of the PCSK9 E670G SNP between non-drinkers and drinkers [n (%)].
|Non-drinker||785||744 (94.8)||41 (5.2)||0 (0.0)||1529 (97.4)||41 (2.6)|
|Drinker||567||543 (95.8)||24 (4.2)||0 (0.0)||1110 (97.9)||24 (2.1)|
|Male||212||199 (93.9)||13 (6.1)||0 (0.0)||411 (96.9)||13 (3.1)|
|Female||573||545 (95.1)||28 (4.9)||0 (0.0)||1118 (97.6)||28 (2.4)|
|Male||456||433 (95.0)||23 (5.0)||0 (0.0)||889 (97.5)||23 (2.5)|
|Female||111||110 (99.1)||1 (0.9)||0 (0.0)||221 (99.5)||1 (0.5)|
|< 25 g/day||372||355 (95.4)||17 (4.6)||0 (0.0)||727 (97.7)||17 (2.3)|
|≥ 25 g/day||195||188 (96.4)||7 (3.6)||0 (0.0)||383 (98.2)||7 (1.8)|
Genotypes of the PCSK9 E670G SNP and serum lipid levels between non-drinkers and drinkers and the interactions between genotypes and alcohol consumption on serum lipid parameters.
TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; ApoA1, apolipoprotein A1; ApoB, apolipoprotein B. All data are expressed as mean ± SD [the values of TG are presented as median (interquartile range)]. The values of F1 and P1 of the drinkers are the interactions between the PCSK9 E670G genotypes and alcohol consumption on serum lipid parameters. ↓, genotype and alcohol consumption interactions to decrease serum lipid levels.
Correlation of serum lipid parameters and genotypes between non-drinkers and drinkers.
|Lipid||Factor||Unstandardized coefficient||Standard error||Standardized coefficient||t||P|
TC, total cholesterol; TG, triglyceride; LDL-C, low-density lipoprotein cholesterol.
The results of the present study show that the levels of TG, HDL-C, ApoA1, and the ratio of ApoA1 to ApoB were higher in drinkers than in non-drinkers, whereas the levels of TC, LDL-C and ApoB were lower in drinkers than in non-drinkers. The subjects with AA genotype of PCSK9 E670G had lower serum TC and LDL-C levels in drinkers than in non-drinkers. The interactions between PCSK9 E670G genotypes and alcohol consumption on serum TC and LDL-C levels were also detected by using a factorial design covariance analysis after controlling for potential confounders. These findings suggest that the effect of alcohol consumption on serum TC and LDL-C levels may depend on the PCSK9 E670G genotypes. To the best of our knowledge, the interaction between PCSK9 E670G SNP and alcohol consumption on serum lipid levels has not been previously explored.
In the present study, we showed that the frequencies of G allele and AG genotype of PCSK9 E670G SNP was 2.6% and 5.2% in non-drinkers, and 2.1% and 4.2% in drinkers (P > 0.05 for each); respectively. There was no significant difference in the genotypic and allelic frequencies between males and females in both groups. Several previous studies showed that the minor-allele frequency (670G) was rare in whites but presented in approximately 24.8% of blacks [35,44]. The frequency of the G allele in patients selected from Universitätsklinikum Hamburg-Eppendorf Martinistrasse, Hamburg, Germany was 5%  which lies between that observed in the TexGen population, 4.4% and that reported for the Lipoprotein Coronary Atherosclerosis Study (LCAS), 7.4% by Chen et al.  in their original study. There was no statistical significant difference in the frequency of the G allele in patients with LDL-C below the 50th percentile for age and sex, those with LDL-C between the 50th and 95th percentiles, and those with LDL-C above the 95th percentile . The 670G carrier in Chinese Taiwanese was identified less frequently in patients with CAD than in controls (9.9% vs. 11.9%), but the difference was not significant in a multivariable logistic regression analysis . These results indicate that the prevalence of the G allele variation of PCSK9 E670G may have a racial/ethnic specificity.
The association of PCSK9 E670G SNP and serum lipid levels is still controversial. Chen et al.  showed that PCSK9 E670G was an important determinant of plasma LDL-C levels, accounting for 3.5% of its variability (F = 14.6, P < 0.001). Accordingly, LDL-C levels were higher in those with the GG, intermediate in those with the AG, and lowest in those with the AA genotypes. Plasma TC, ApoB, and lipoprotein (a) levels were also associated with the PCSK9 E670G SNP. Evans and Beil  found that the PCSK9 E670G SNP in a European population was associated with increased LDL-C in men but not in women. Norata et al.  also showed that the 670G carriers were associated with increased plasma TC, LDL-C, and ApoB levels in the general population. Contradictory to these previous results, Hsu et al.  showed a significantly lower level of LDL-C in 670G carriers in Chinese Taiwanese than in non-carriers among 614 unrelated controls. However, the association between the PCSK9 E670G SNP and plasma LDL-C levels or CAD risk was not confirmed in other studies [35, 42-44]. In the present study, we showed that the levels of LDL-C in non-drinkers were different between the two genotypes, the subjects with AA genotype had higher LDL-C levels than the subjects with AG genotype. The levels of TC in drinkers were different between the two genotypes, the subjects with AG genotype had higher TC levels than the subjects with AA genotypes. Multiple linear regression analysis showed that the levels of serum TC and LDL-C in non-drinkers were negatively correlated with the genotypes of PCSK9 E670G, whereas the levels of TC and TG in drinkers were positively associated with the genotypes of PCSK9 E670G. The reason for this discrepancy is most likely due to different gene-environmental interactions.
There are several potential limitations in the current study. First, we did not match drinkers and non-drinkers in terms of sex; therefore, the drinkers had a much higher proportion of males than did the non-drinkers. Second, the sample size of drinkers is a little small. In addition, the subject with GG genotype is not detected in both drinkers and non-drinkers. Third, the levels of body height, weight, and the percentages of subjects who smoked cigarettes were higher in drinkers than in non-drinkers, whereas the levels of mean age and diastolic blood pressure were lower in drinkers than in non-drinkers. Although sex, age, BMI, hypertension, and cigarette smoking have been adjusted for the statistical analysis, we could not completely eliminate the potential effects of these factors on serum lipid levels in both groups. Fourth, the use of questionnaire may not be a reliable measure for alcohol intake in our population because 90% of the wine drunk by the drinkers was corn wine, rice wine, and rum, in which the alcohol content is very low. Fifth, it is well known that serum lipid levels are modulated by multiple environmental and genetic factors, and their interactions. Although we have detected the interactions of PCSK9 E670G SNP and alcohol consumption on serum lipid levels in this study, there are still many unmeasured environmental and genetic factors and their interactions. Thus, the interactions of environment-environment, environment-gene, and gene-gene on serum lipid levels remain to be determined. Finally, the number of 670G allele carriers in our study populations is rather small, the findings in our current study should be confirmed in the other populations.
The present study shows that there were no significant differences in the genotypic and allelic frequencies of PCSK9 E670G SNP between non-drinkers and drinkers. The subjects with AA genotype in non-drinkers had higher serum LDL-C levels than the subjects with AG genotype. The individuals with AG genotype in drinkers had higher TC levels than the individuals with AA genotypes. The effects of alcohol consumption on TC and LDL-C levels depended upon genotypes, the subjects with AA genotype had lower serum TC and LDL-C levels in drinkers than in non-drinkers. These results suggest that the subjects with AA genotype of the PCSK9 E670G benefit more from alcohol consumption than the subjects with AG genotype in decreasing serum TC and LDL-C levels.
This study was supported by the National Natural Science Foundation of China (No: 30660061).
The authors have declared that no competing interest exists.
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Corresponding author: Prof. Rui-Xing Yin, Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, People's Republic of China. Tel: +86-771-5326125; Fax: +86-771-5353342; e-mail: yinruixingcom.cn.