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The association of the PCSK9 rs562556 polymorphism with serum lipids level: a meta-analysis

Lipids in Health and Disease volume 18, Article number: 105 (2019) Cite this article

Abstract

Background

Studies had investigated the associations between proprotein convertase subtilisin/kexin type 9 SNP rs562556 and serum lipids levels and response to statin treatment, however, the results remained inconclusive. We conducted this meta-analysis to elucidate the relationship of rs562556 and serum lipids levels.

Methods

All eligible studies met the inclusion criteria were retrieved from multiple databases. Relative data were extracted from each study. Review Manager (version 5.3.5) and STATA 12.0 software was used to perform this meta-analysis. Pooled standardized mean difference (SMD) with 95% CI was employed to evaluate the association of rs562556 with serum lipids levels.

Results

A total of 7 eligible articles involving 4742 subjects were included in the final meta-analysis. The results revealed that the G carriers had lower levels of total cholesterol (SMD: 0.14, 95% Cl: 0.06–0.23, P = 0.001) and LDL-C(SMD: 0.13, 95% Cl: -0.55-0.22,P = 0.002) than the non-carriers. The statistical results also illustrated that the G carriers had lower relative risk (SMD: 1.38, 95% Cl: 1.02–1.85, P = 0.003) than the non-carriers.

Conclusions

The results of the current meta-analysis for the first time indicated the relevance of rs562556 and lower serum cholesterol levels.

Introduction

Proprotein convertase subtilisin/kexin type 9 (PCSK9), the ninth member of the subtilisin family of kexin-like proconvertases, was formerly known as neural apoptosis regulated convertase 1 (NARC-1) which was responsible for the cleavage of a variety of precursor proteins including neuropeptides, prohormones, cytokines, growth factors and other cell surface proteins [1, 2]. PCSK9 was also identified as the third gene implicated in autosomal-dominant hypercholesterolemia after low-density lipoprotein receptor (LDLR) and apolipoprotein B(APOB) [3, 4].

The pre-processed PCSK9 comprised four domains: the signal peptide (residues 1–30), the N-terminal pro-domain (residues 31–152), the catalytic domain (residues 153–425) and the C-terminal cysteine histidine rich domain (residues 526–692) [5]. PCSK9 is mainly expressed in liver, kidney and intestine [2]. It was secreted into circulation after auto-catalytically cleaving by the N-terminal prodomain [6,7,8]. Residues 61–70 in the N-terminal pro-domain were reported to be critical for self-cleavage, secretion, or LDLR-degrading activity [5]. Through the catalytic domain, PCSK9 effectively bound to the epidermal growth factor-like repeat A domain of LDLR and then rerouted LDLR to the lysosome for degradation. The C-terminal domain also mediated protein-protein interactions and influenced secretion and LDLR-reducing activity [5, 8]. PCSK9 prevented LDLR recycling to the cell membrane, reducing the endocytosis of low-density lipoprotein cholesterol (LDL-C) thus increasing he serum lipid levels.

PCSK9 is a highly polymorphic gene. Variants in the PCSK9 gene have been associated with variability of serum lipids levels especially the level of LDL-C [9, 10]. Gain-of-function mutations interferes with the recycling of LDLR to cell surface, which reduced the uptakes of LDL-C and increased LDL-C level [11]. Loss-of function decelerated the degradation of LDLR, increasing the number of LDLR on the surface and promoting circulating LDL-C absorbing into cells [12].Statins competitively inhibited HMG-CoA reductase activity, lowered cellular cholesterol concentrations and increased synthesis of LDLR as compensation [13,14,15]. Thus, loss of function mutations in the PCSK9 were expected to have a better response to statins suggesting that lipid-lowering by PCSK9 inhibitors may be synergistic to that achieved by statins treatment [16]. The LDL-C lowering effect may be counteracted by gain-of-function mutations in PCSK9 since they favored LDLR destruction [17, 18].

The PCSK9 rs562556 (c.1420G > A, I474V) variant in exon9, located within the linker domain between catalytic domain and C-terminal domain, was reported as a gain-of-function mutation [17]. Numerous studies in different ethnic group have been performed to explore the link between rs562556 and plasma LDL cholesterol levels [19]. Some of them further investigated the association of rs562556 and the effect of station treatment. However, the results were inconsistent and controversial and no meta-analysis has yet been conducted on it. Therefore, we conducted the current meta-analysis of all eligible studies to assess the associations of rs562556 variation with lipid traits.

Material and methods

Search strategy

All studies focused on the associations of PCSK9 rs562556 with plasma lipids level and the effect of statin treatment were identified. A systematic search was performed in Pubmed, Elsevier and Web of Science up to December, 2018 without restrictions. Different combinations of the following terms were applied: “PCSK9”, “proprotein convertase subtilisin/kexin type 9”, “neural apoptosis regulated convertase”, “NARC-1”, “rs562556”, “polymorphism”, “variant” and “mutation”. Two authors (JC, ZQ) conducted the research independently. We also performed a full manual search from the references of relevant articles for studies potentially missed in the primary searches.

Study selection

This meta-analysis aimed to investigate the relationship between rs562556 and serum lipids levelS including total triglycerides (TG), total cholesterol (TC), LDL-C, and high-density lipoprotein cholesterol (HDL-C) before and/or after statin treatment. Studies were included in the meta-analysis when mean plasma lipid levels and standard deviations or standard errors by genotype were available. Reviews, case reports, pedigree-based studies, animal studies and reports with incomplete date were excluded.

Data extraction

The unqualified and repeated studies were excluded after reviewed independently by two authors (JC,ZQ). Disagreements were consulted by the third person (MP). The following information was extracted from each included study: first author, year of publication, origin country, ethnicity, sample size, genotyping method, mean lipids level and standard deviations before and/or after statin treatment.

Statistical methods

Due to the low frequencies of the GG genotype, more than half of the included studies reported the serum lipids level by pooling the GG and AG genotype. So a dominant model [(AG + GG) versus AA] was employed for calculation. Distributions of continuous variables were presented as mean ± standard deviation. We recalculated the mean ± standard deviation under dominant model when the candidate study did not report in this way. The strength of association was assessed and interpreted as pooled standardized mean difference (SMD) and its corresponding 95% confidence interval (CI). A P value < 0.05 was regarded as a statistically significant difference. Heterogeneity between studies was assessed using the chi-square-based “Q” test and inconsistency value (I2); P ≤ 0.05 and/or I2 > 50% indicated a significant heterogeneity. When P ≥ 0.05 and/or I2 < 50%, the Inverse-Variance fixed-effect model was used for the combined data, otherwise Inverse-Variance random-effects model was applied. Sensitivity analysis was performed by omitting each individual study in turn and performing all calculations using the remaining studies to assess the stability of the pooled results. Publication bias was assessed using Begg’s rank correlation test which was shown as a funnel plot (P < 0.05 was considered to be statistically significant). Funnel plot asymmetry was also examined by using Egger’s linear regression test. All statistical analyses were conducted with STATA 12.0 software (StataCorp, College Station, TX) and Review Manager (version 5.3.5) (Cochrane Collaboration, Oxford, United Kingdom).

Results

Study selection and baseline characteristics

PRISMA Flow Diagram documenting the details of study selection process is illustrated in Fig. 1. A total of 1066 potentially relevant articles were retrieved at the initial database search stage. Among them, only 15 articles were with respect to rs562556 polymorphisms [17, 19,20,21,22,23,24,25,26,27,28,29,30,31,32]. After applying inclusion and exclusion criteria, 7 eligible articles published between 2004 and 2017 were included in the final meta-analysis model [19, 22, 23, 26, 27, 30, 32]. The main features of all the included studies were summarized in Table 1. There are 4 studies performing genotyping using TaqMan assay, two studies using polymerase chain reaction-restriction fragment length polymorphism and one with exonic sequencing. Three of these studies involved Asian populations conducted in Thailand and Japan, one of the 7 studies was about Caucasian populations from Italy and another one researched on both Caucasian populations and African Canadians in Canada, the other two studies was based on Brazilian.

Fig. 1
figure 1

Flow diagram of study selection process for PCSK9 rs562556

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Table 1 Main characteristics of eligible studies included this meta-analysis
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Heterogeneity and sensitivity analysis

If all of the 7 studies were included for statistical analysis, significance of heterogeneity was observed and the value of I2 = 100%. The sensitivity analysis was conducted via sequential analysis after omitting one study at a time to assess the effects of individual studies on the overall meta-analysis estimate. Sensitivity analysis suggested that the study Shioji 2004 obviously affected the overall Std Mean Difference values of correlations. Heterogeneity was specifically decreased (I2 ≤ 41.3%), when the study by Shioji 2004 was removed. So the reference study Shioji 2004 was excluded when assessing the association of PCSK9 rs562556 with serum lipid levels.

Association between PCSK9 rs562556 and plasma lipid levels

All six included studies investigated the correlation between the rs562556 SNP and serum lipid levels. The results of our meta-analysis revealed that the G carriers had lower levels of TC (SMD: 0.14, 95% Cl: 0.06–0.23, P = 0.001) and LDL-C(SMD: 0.13, 95% Cl: 0.05–0.22, P = 0.002) than the non-carriers (Figs. 2, 3). No statistically significant difference in the levels of HDL-C(SMD: -0.01, 95% Cl: -0.07-0.10,P = 0.78) and TG(SMD: 0.02, 95% Cl: -0.07-0.10,P = 0.67) was detected between the G carriers and the non-carriers (Figs. 4, 5).

Fig. 2
figure 2

Forest plot of the association between PCSK9 rs562556 polymorphism and the serum levels of TC

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Fig. 3
figure 3

Forest plot of the association between PCSK9 rs562556 polymorphism and the serum levels of LDL-C

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Fig. 4
figure 4

Forest plot of the association between PCSK9 rs562556 polymorphism and the serum levels of HDL-C

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Fig. 5
figure 5

Forest plot of the association between PCSK9 rs562556 polymorphism and the serum levels of TG

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Association between PCSK9 rs562556 and relative risk

Only three of the included studies investigated the associations between the rs562556 polymorphism and relative risk. One of them evaluated the PCSK9 polymorphisms rs562556 with serum lipids level in Polycystic Ovary Syndrome subjects (Xavier 2017). Another study investigated the influence of PCSK9 variants on plasma lipid profile on hypercholesterolemic and normolipidemic individuals (Anderson 2014). While the third study included myocardial infarction group and controls to assess the association between this polymorphism and the incidence of myocardial infarction (Shioji 2004). A total of 2274 with subjects were involved in the three studies. The statistical results also illustrated that the G carriers had lower relative risk (SMD: 1.38, 95% Cl: 1.02–1.85, P = 0.003) than the non-carriers (Fig. 6).

Fig. 6
figure 6

Forest plot of the association between PCSK9 rs562556 polymorphism and relative risk

Full size image

Publication Bias analysis

Publication bias of the literature was assessed by visual inspection of the Begg’s funnel plots for asymmetry. Begg’s rank correlation test and Egger’s linear regression test were used to provide statistical evidence for funnel plot symmetry. The shapes of the funnel plots did not reveal any evidence of obvious asymmetry (Fig. 7 a, b, d), except a slight asymmetry in the case of analysis of rs562556 polymorphisms with the HDL-C levels (Fig. 7c). The Egger’s test gave the same result and all values of P > 0.05 (Table 2).

Fig. 7
figure 7

The funnel plot of publication bias detection between PCSK9 rs562556 polymorphism and the serum lipid levels (a: TC; b: LDL-C; c: HDL-C; d: TG)

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Table 2 Meta-Analysis results of PCSK9 rs562556 polymorphism and the serum lipid levels under dominant model (AG + GG versus AA)
Full size table

Discussion

The main function of PCSK9 was binding the LDLR and promoting LDLR degradation in lysosome. It interfaced the recycling of LDLR to cell surface thus regulated the serum LDL-C level. Statins inhibited the cellular biosynthesis of cholesterol by competitive inhibition on HMG-CoA reductase, leading LDLR increasing as a feedback. A growing number of researches revealed that the polymorphisms of PCSK9 not only associated with plasma lipid levels but also affected statin treatment. Two of the most extensively studied variants of PCSK9 were rs505151 (c.2009G > A, E670G) and rs11591147 (c.137G > T, R46L). SNP rs505151 (c.2009G > A, E670G), a common gain-of-function mutation, was accompanied with higher TC and LDL-C and interacted with statin treatment. Variant allele carriers of E670G had no significant benefit from statin treatment compared to homozygous wild type carriers who did benefit [33, 34]. SNP rs11591147 (c.137G > T, R46L) was a rare loss-of-function mutation and associated with lower LDL-C concentrations [35]. But its effect on the statin treatment was inconsistent. Some studies found no significant differences in LDL-C reduction influenced by the genetic status and thus found no increased response to statin therapy in the R46L variant allele carriers [36]. But other studies reported that rs11591147 was significantly associated with LDL-C response to statin treatment [16]. Several other SNPs of PCSK9 like rs11206510, rs11583680 (c.158C > T, A53V) and rs562556 (c.1420G > A, I474V) was also reported to link with plasma lipids levels.

Since no meta-analysis has yet been conducted on rs562556 (c.1420G > A, I474V), our primary purpose was to assess the role of rs562556 on the serum lipids levels. To our knowledge, this was the first meta-analysis to comprehensively investigate the association between rs562556 and serum lipids levels. We did this meta-analysis and found that this variant were positively associated with lower levels of TC and LDL-C under dominant model. Subgroup analysis based on ethnicity suggested that rs562556 had correlation with lower levels of TC and LDL-C in Caucasian, African Canadian, Brazilian but not in Thai population. A study based on Japanese revealed that rs562556 had strong correlation not only with lower levels of TC, LDL-C and TG but also with higher levels of HLD-C (data not shown). This difference may be attributed to different regional influences, ethnicities, and lifestyles. No significant differences in the response to statin treatment were observed between G-carriers and non G-carriers. Only two studies were included to assess the response to statin treatment, this result should be treated prudently. More related studies were needed to verify this conclusion and to give more robust evidence.

Several unavoidable limitations of the present study should be noted. Firstly, the number of published studies and sample size were relatively small. A total of 2949 objects were included in the final analysis. Secondly, the objects including healthy population, hypercholesterolemics patients, polycystic ovary syndrome patients, varied widely considering their disease characteristics, which may weaken the statistic power of the findings of this meta-analysis. Thirdly, some of the included studies were case-control designed while the others were not. We recalculated and combined the data together, which may introduce inevitable interference for the final results.

Conclusions

The current meta-analysis provided evidence of a positive association between rs562556 and lower TC and LDL-C levels.

Abbreviations

Cl:

Confidence interval

HDL-C:

High-density lipoprotein cholesterol

LDL-C:

Low-density lipoprotein cholesterol

LDLR:

Low-density lipoprotein receptor

NARC-1:

Neural apoptosis regulated convertase 1

PCSK9:

Proprotein convertase subtilisin/kexin type 9

SMD:

Standardized mean difference

TC:

Total cholesterol

TG:

Total triglycerides

References

  1. Seidah NG, Prat A. Precursor convertases in the secretory pathway, cytosol and extracellular milieu. Essays Biochem. 2002;38:79–94.

    Article  CAS  PubMed  Google Scholar 

  2. Seidah NG, Suzanne B, Louise W, Jadwiga M, Stephanie Belanger J, Stefano S, Ajoy B, Annik P, Michel C. The secretory proprotein convertase neural apoptosis-regulated convertase 1 (NARC-1): liver regeneration and neuronal differentiation. Proc Natl Acad Sci U S A. 2003;100:928–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Soutar AK, Naoumova RP. Mechanisms of disease: genetic causes of familial hypercholesterolemia. Nat Clin Pract Cardiovasc Med. 2007;4:214–25.

    Article  CAS  PubMed  Google Scholar 

  4. Abifadel M, Varret M, Rabes JP, Allard D, Ouguerram K, Devillers M, Cruaud C, Benjannet S, Wickham L, Erlich D, et al. Mutations in PCSK9 cause autosomal dominant hypercholesterolemia. Nat Genet. 2003;34:154–6.

    Article  CAS  PubMed  Google Scholar 

  5. Du F, Hui Y, Zhang M, Linton MF, Fazio S, Fan D. Novel domain interaction regulates secretion of proprotein convertase subtilisin/kexin type 9 (PCSK9) protein. J Biol Chem. 2011;286:43054–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cunningham D, Danley DE, Geoghegan KF, Griffor MC, Hawkins JL, Subashi TA, Varghese AH, Ammirati MJ, Culp JS, Hoth LR, et al. Structural and biophysical studies of PCSK9 and its mutants linked to familial hypercholesterolemia. Nat Struct Mol Biol. 2007;14:413–9.

    Article  CAS  PubMed  Google Scholar 

  7. Hampton EN, Knuth MW, Li J, Harris JL, Lesley SA, Spraggon G. The self-inhibited structure of full-length PCSK9 at 1.9 a reveals structural homology with resistin within the C-terminal domain. Proc Natl Acad Sci U S A. 2007;104:14604–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Piper DE, Jackson S, Liu Q, Romanow WG, Shetterly S, Thibault ST, Shan B, Walker NP. The crystal structure of PCSK9: a regulator of plasma LDL-cholesterol. Structure. 2007;15:545–52.

    Article  CAS  PubMed  Google Scholar 

  9. Cohen J, Pertsemlidis A, Kotowski IK, Graham R, Garcia CK, Hobbs HH. Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9. Nat Genet. 2005;37:161–5.

    Article  CAS  PubMed  Google Scholar 

  10. Schulz R, Schluter KD, Laufs U. Molecular and cellular function of the proprotein convertase subtilisin/kexin type 9 (PCSK9). Basic Res Cardiol. 2015;110:4.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Qiu C, Zeng P, Li X, Zhang Z, Pan B, Peng ZYF, Li Y, Ma Y, Leng Y, Chen R. What is the impact of PCSK9 rs505151 and rs11591147 polymorphisms on serum lipids level and cardiovascular risk: a meta-analysis. Lipids Health Dis. 2017;16:111.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Benn M, Nordestgaard BG, Grande P, Schnohr P, Tybjaerg-Hansen A. PCSK9 R46L, low-density lipoprotein cholesterol levels, and risk of ischemic heart disease: 3 independent studies and meta-analyses. J Am Coll Cardiol. 2010;55:2833–42.

    Article  CAS  PubMed  Google Scholar 

  13. Goldstein JL, Brown MS. The LDL receptor. Arterioscler Thromb Vasc Biol. 2009;29:431–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Goldstein JL, Brown MS. A century of cholesterol and coronaries: from plaques to genes to statins. Cell. 2015;161:161–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Kovanen PT, Bilheimer DW, Goldstein JL, Jaramillo JJ, Brown MS. Regulatory role for hepatic low density lipoprotein receptors in vivo in the dog. Proc Natl Acad Sci U S A. 1981;78:1194–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Feng Q, Wei WQ, Chung CP, Levinson RT, Bastarache L, Denny JC, Stein CM. The effect of genetic variation in PCSK9 on the LDL-cholesterol response to statin therapy. Pharmacogenomics J. 2017;17:204–8.

    Article  CAS  PubMed  Google Scholar 

  17. Ding K, Kullo IJ. Molecular population genetics of PCSK9: a signature of recent positive selection. Pharmacogenet Genomics. 2008;18:169–79.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Naoumova RP, Tosi I, Patel D, Neuwirth C, Horswell SD, Marais AD, van Heyningen C, Soutar AK. Severe hypercholesterolemia in four British families with the D374Y mutation in the PCSK9 gene: long-term follow-up and treatment response. Arterioscler Thromb Vasc Biol. 2005;25:2654–60.

    Article  CAS  PubMed  Google Scholar 

  19. Mayne J, Ooi TC, Raymond A, Cousins M, Bernier L, Dewpura T, Sirois F, Mbikay M, Davignon J, Chretien M. Differential effects of PCSK9 loss of function variants on serum lipid and PCSK9 levels in Caucasian and African Canadian populations. Lipids Health Dis. 2013;12:70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Arama C, Diarra I, Kouriba B, Sirois F, Fedoryak O, Thera MA, Coulibaly D, Lyke KE, Plowe CV, Chretien M, et al. Malaria severity: Possible influence of the E670G PCSK9 polymorphism: A preliminary case-control study in Malian children. PloS one. 2018;13:e0192850.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kukava NG, Titov BV, Osmak GJ, Matveeva NA, Kulakova OG, Favorov AV, Shakhnovich RM, Ruda MY, Favorova OO. Multilocus analysis of genetic susceptibility to myocardial infarction in Russians: replication study. Acta Nat. 2017;9:74–83.

    Article  CAS  Google Scholar 

  22. Xavier LB, Soter MO, Sales MF, Oliveira DK, Reis HJ, Candido AL, Reis FM, Silva IO, Gomes KB, Ferreira CN. Evaluation of PCSK9 levels and its genetic polymorphisms in women with polycystic ovary syndrome. Gene. 2018;644:129–36.

    Article  CAS  PubMed  Google Scholar 

  23. Wanmasae S, Sirintronsopon W, Porntadavity S, Jeenduang N. The effect of APOE, CETP, and PCSK9 polymorphisms on simvastatin response in Thai hypercholesterolemic patients. Cardiovasc Ther. 2017;35:e12302. https://0-doi-org.brum.beds.ac.uk/10.1111/1755-5922.12302.

    Article  Google Scholar 

  24. Ooi TC, Krysa JA, Chaker S, Abujrad H, Mayne J, Henry K, Cousins M, Raymond A, Favreau C, Taljaard M, et al. The effect of PCSK9 loss-of-function variants on the postprandial lipid and ApoB-lipoprotein response. J Clin Endocrinol Metab. 2017;102:3452–60.

    Article  PubMed  Google Scholar 

  25. Ochoa E, Iriondo M, Manzano C, Fullaondo A, Villar I, Ruiz-Irastorza G, Zubiaga AM, Estonba A. LDLR and PCSK9 are associated with the presence of antiphospholipid antibodies and the development of thrombosis in aPLA carriers. PLoS One. 2016;11:e0146990.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Jeenduang N, Porntadavity S, Wanmasae S. Combined PCSK9 and APOE polymorphisms are genetic risk factors associated with elevated plasma lipid levels in a Thai population. Lipids. 2015;50:543–53.

    Article  CAS  PubMed  Google Scholar 

  27. Anderson JM, Cerda A, Hirata MH, Rodrigues AC, Dorea EL, Bernik MM, Bertolami MC, Faludi AA, Hirata RD. Influence of PCSK9 polymorphisms on plasma lipids and response to atorvastatin treatment in Brazilian subjects. J Clin Lipidol. 2014;8:256–64.

    Article  PubMed  Google Scholar 

  28. Al-Waili K, Al-Zidi WA, Al-Abri AR, Al-Rasadi K, Al-Sabti HA, Shah K, Al-Futaisi A, Al-Zakwani I, Banerjee Y. Mutation in the PCSK9 gene in Omani Arab subjects with autosomal dominant hypercholesterolemia and its effect on PCSK9 protein structure. Oman Med J. 2013;28:48–52.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Gutierrez-Cirlos C, Ordonez-Sanchez ML, Tusie-Luna MT, Patterson BW, Schonfeld G, Aguilar-Salinas CA. Familial hypobetalipoproteinemia in a hospital survey: genetics, metabolism and non-alcoholic fatty liver disease. Ann Hepatol. 2011;10:155–64.

    PubMed  Google Scholar 

  30. Norata GD, Garlaschelli K, Grigore L, Raselli S, Tramontana S, Meneghetti F, Artali R, Noto D, Cefalu AB, Buccianti G, et al. Effects of PCSK9 variants on common carotid artery intima media thickness and relation to ApoE alleles. Atherosclerosis. 2010;208:177–82.

    Article  CAS  PubMed  Google Scholar 

  31. Scartezini M, Hubbart C, Whittall RA, Cooper JA, Neil AH, Humphries SE. The PCSK9 gene R46L variant is associated with lower plasma lipid levels and cardiovascular risk in healthy U.K. men. Clin Sci (Lond). 2007;113:435–41.

    Article  CAS  Google Scholar 

  32. Shioji K, Mannami T, Kokubo Y, Inamoto N, Takagi S, Goto Y, Nonogi H, Iwai N. Genetic variants in PCSK9 affect the cholesterol level in Japanese. J Hum Genet. 2004;49:109–14.

    Article  CAS  PubMed  Google Scholar 

  33. Shek A, Alieva R, Kurbanov R, Hoshimov S, Nizamov U, Abdullaeva G, Nagay A. Burden of familial heterozygous hypercholesterolemia in Uzbekistan: time is muscle. Atherosclerosis. 2018;277:524–9.

    Article  CAS  PubMed  Google Scholar 

  34. Peters BJ, Pett H, Klungel OH, Stricker BH, Psaty BM, Glazer NL, Wiggins KL, Bis JC, de Boer A, Maitland-van der Zee AH. Genetic variability within the cholesterol lowering pathway and the effectiveness of statins in reducing the risk of MI. Atherosclerosis. 2011;217:458–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Awan Z, Seidah NG, MacFadyen JG, Benjannet S, Chasman DI, Ridker PM, Genest J. Rosuvastatin, proprotein convertase subtilisin/kexin type 9 concentrations, and LDL cholesterol response: the JUPITER trial. Clin Chem. 2012;58:183–9.

    Article  CAS  PubMed  Google Scholar 

  36. Hamrefors V, Orho-Melander M, Krauss RM, Hedblad B, Almgren P, Berglund G, Melander O. A gene score of nine LDL and HDL regulating genes is associated with fluvastatin-induced cholesterol changes in women. J Lipid Res. 2010;51:625–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This work was funded by the Science & Technology Program of Sichuan Province (Grant number: 2017SZ0137 and 2017YSZH0028) and Young Scholars foundation of Sichuan Provincial People’s Hospital (Grant number:2016QN01) and the National Key Specialty Construction Project of Clinical Pharmacy(Grant number: 30305030698) and the Health Department of Sichuan Province (Grant no.19PJYY0288).

Availability of data and materials

All data generated or analysed during this study are included in this published article (and its Additional file 1).

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Authors and Affiliations

  1. Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China

    Junlan Chuan, Yuan Zhang & Rongsheng Tong

  2. Department of Pharmacy, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, 610072, China

    Junlan Chuan, Yuan Zhang & Rongsheng Tong

  3. Chengdu Institute of Biological Products Co., Ltd, Chengdu, 610000, China

    Zhengxu Qian

  4. Department of Stomatology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China

    Min Peng

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Contributions

JC and MP conceived and designed the review. JC and ZQ performed Literature search and data collection. YZ completed statistical analysis. JC was a major contributor in writing the manuscript. RT was responsible for critical revision of the manuscript for important intellectual content. All authors read and approved the final manuscript.

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Correspondence to Rongsheng Tong or Min Peng.

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Additional file

Additional file 1:

The funnel plot of publication bias detection between PCSK9 rs562556 polymorphism and the serum lipid levels (circle: TC; diamond: LDL-C; square: HDL-C; triangle: TG). (PNG 9 kb)

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Chuan, J., Qian, Z., Zhang, Y. et al. The association of the PCSK9 rs562556 polymorphism with serum lipids level: a meta-analysis. Lipids Health Dis 18, 105 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s12944-019-1036-1

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  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12944-019-1036-1

Keywords

Lipids in Health and Disease

ISSN: 1476-511X