Oxidative Stress-Related Genes in Type 2 Diabetes: Association Analysis and Their Clinical Impact

Worldwide prevalence of diabetes mellitus motivates a number of association studies to be conducted throughout the world. Eleven polymorphisms from nine candidate genes in oxidative stress pathway have been analyzed in eastern Indian type 2 diabetic patients (n = 145) and healthy controls (n = 100). Different biochemical parameters were also analyzed for their association with the disease. Significant associations were observed for rs2070424 A>G SOD1 (OR 3.91, 95% CI 2.265–8.142, P < 0.001), rs854573 A>G PON1 (OR 3.415, 95% CI 2.116–5.512, P < 0.001), rs6954345 G>C PON2 (OR 3.208, 95% CI 2.071–4.969, P < 0.001), RAGE rs1800624 ?374 T>A (OR 3.58, 95% CI 2.218–5.766, P < 0.001), and NOS3 ?786 T>C (OR 3.75, 95% CI 2.225–6.666, P < 0.001). Haplotype containing two risk alleles of PON1 and PON2 genes was significantly associated with disease (OR 8.34, 95% CI 1.554–44.804, P < 0.002). Our results suggest that carriers of major and efficient alleles of oxidative stress genes are more likely to survive the comorbid complications and single copy of risk allele is sufficient for developing the disease.     

Bayesian logistic regression in detection of gene–steroid interaction for cancer at <Emphasis Type="Italic">PDLIM5</Emphasis> locus

The PDZ and LIM domain 5 (PDLIM5) gene may play a role in cancer, bipolar disorder, major depression, alcohol dependence and schizophrenia; however, little is known about the interaction effect of steroid and PDLIM5 gene on cancer. This study examined 47 single-nucleotide polymorphisms (SNPs) within the PDLIM5 gene in the Marshfield sample with 716 cancer patients (any diagnosed cancer, excluding minor skin cancer) and 2848 noncancer controls. Multiple logistic regression model in PLINK software was used to examine the association of each SNP with cancer. Bayesian logistic regression in PROC GENMOD in SAS statistical software, ver. 9.4 was used to detect gene–steroid interactions influencing cancer. Single marker analysis using PLINK identified 12 SNPs associated with cancer (P < 0.05); especially, SNP rs6532496 revealed the strongest association with cancer (P = 6.84 × 10^?3); while the next best signal was rs951613 (P = 7.46 × 10^?3). Classic logistic regression in PROC GENMOD showed that both rs6532496 and rs951613 revealed strong gene–steroid interaction effects (OR = 2.18, 95% CI = 1.31?3.63 with P = 2.9 × 10^?3 for rs6532496 and OR = 2.07, 95% CI = 1.24 ?3.45 with P = 5.43 × 10^?3 for rs951613, respectively). Results from Bayesian logistic regression showed stronger interaction effects (OR = 2.26, 95% CI = 1.2 ?3.38 for rs6532496 and OR = 2.14, 95% CI = 1.14 ?3.2 for rs951613, respectively). All the 12 SNPs associated with cancer revealed significant gene–steroid interaction effects (P < 0.05); whereas 13 SNPs showed gene–steroid interaction effects without main effect on cancer. SNP rs4634230 revealed the strongest gene–steroid interaction effect (OR = 2.49, 95% CI = 1.5 ?4.13 with P = 4.0 × 10^?4 based on the classic logistic regression and OR = 2.59, 95% CI = 1.4 ?3.97 from Bayesian logistic regression; respectively). This study provides evidence of common genetic variants within the PDLIM5 gene and interactions between PLDIM5 gene polymorphisms and steroid use influencing cancer.     

Association of three single nucleotide polymorphisms at the SIX1-SIX6 locus with primary open angle glaucoma in the Chinese population

This study investigated the genetic association of three single nucleotide polymorphisms(SNPs; rs10483727, rs33912345, and rs146737847) at the SIX1-SIX6 locus with primary open angle glaucoma(POAG) in the Chinese population. A total of 866 subjects with POAG(685 high-tension glaucoma(HTG) and 181 normal-tension glaucoma(NTG)) and 266 control individuals were included. Significant genetic association was identified for rs10483727 in HTG(P=0.02; odds ratio(OR)=1.31), NTG(P=7.41×10~(-6); OR=2.71), and POAG(i.e., HTG and NTG combined; P=0.001; OR=1.44). rs33912345 was also significantly associated with HTG(P=0.008; OR=1.36), NTG(P=2.72×10~(-6); OR=2.27), and POAG(P=3.84×10~(-4); OR=1.49). The rare SIX6 mutation, rs146737847, was not found in the subjects enrolled in this study. Stratification by patient age identified that both rs10483727 and rs33912345 were significantly associated with NTG in patients aged above 40 years(P=2.08×10~(-5); OR=2.28), whereas in patients aged between 20–40 years, rs33912345 was significantly associated with NTG(P=0.017; OR=2.06). In HTG, the genetic associations for both rs10483727 and rs33912345 were significant in patients aged between 20–40 years(P=0.006; OR=1.56) but not in those aged above 40 years(P=0.118, OR=1.21 and P=0.042, OR=1.29, respectively). This study replicated the association of POAG with two SNPs at the SIX1-SIX6 locus and demonstrated that SNPs, rs10483727 and rs33912345, are significantly associated with POAG, especially with NTG in patients aged above 40 years.     

A Missense Variant in <Emphasis Type="Italic">TREML2</Emphasis> Reduces Risk of Alzheimer’s Disease in a Han Chinese Population

Recently, Benitez and colleagues re-analyzed whole-exome sequencing data and revealed that a coding missense variant (rs3747742-C) in triggering receptor expressed on myeloid cells-like 2 (TREML2) gene reduced late-onset Alzheimer’s disease (LOAD) risk in Caucasians. To date, no study was carried out to test this association in other ethnic groups and populations, including Han Chinese. Therefore, the aim of the current study was to validate the relation between rs3747742 and LOAD susceptibility in a large Han Chinese population including 992 LOAD patients and 1358 healthy controls. In the total sample, the minor (C) allele of rs3747742 was associated with a reduced LOAD risk under the recessive genetic model after Bonferroni correction (odds ratio (OR)?=?0.713; 95 % confidence interval (CI): 0.546–0.932; P?=?0.013, Bonferroni-corrected P?=?0.039). Interestingly, after stratifying data according to apolipoprotein E (APOE) ε4 status, we revealed that this protection only exists in APOE ε4 carriers (recessive genetic model, OR?=?0.448; 95 % CI: 0.262–0.765; P?=?0.003, Bonferroni-corrected P?=?0.009) in our cohort. Taken together, our findings support rs3747742-C as a protective factor for LOAD, especially in APOE ε4 carriers.     

Plasma matrix metalloproteinase-9 levels, <Emphasis Type="Italic">MMP</Emphasis>-<Emphasis Type="Italic">9</Emphasis> gene haplotypes,and cardiovascular risk in obese subjects

Plasma matrix metalloproteinase (MMP)-9 is a predictor of cardiovascular mortality, and MMP-9 polymorphisms affect plasma MMP-9 levels. However, no study examined whether MMP-9 haplotypes affect MMP-9 levels in obese adults. We examined whether MMP-9 polymorphisms and haplotypes are associated with obesity, and whether they affect MMP-9 levels in obese subjects. We examined the plasma levels of MMP-9 and tissue inhibitor of metalloproteinase (TIMP)-1 in 105 subjects with normal weight (controls), 100 obese subjects, and 156 obese subjects with ≥3 metabolic risk factors (MRFs). We determined genotypes for three polymorphisms: C-1562T (rs3918242), Q279R (A>G, rs17576), and R668Q (G>A, rs17577). MMP-9 levels and activity (MMP-9/TIMP-1 ratio) were higher in obese subjects than in controls (P < 0.05). However, MMP-9 levels were higher in obese subjects with ≥3 MRFs than in obese subjects (P < 0.05). Obese subjects with ≥3 MRFs carrying the GA+AA genotypes for R668Q (G>A) polymorphism had higher MMP-9 levels than subjects carrying the AA genotype (P < 0.05). The “T, G, A” haplotype was more common in both groups of obese subjects than in controls (OR 3.95 and 4.39, respectively; P < 0.01). Notably, obese subjects with ≥3 MRFs carrying the “T, G, A” haplotype had higher MMP-9 levels than subjects carrying the “C, A, G” reference haplotype (P < 0.05). The “T, G, A” haplotype was associated with an increased risk of obesity and affected MMP-9 levels in obese subjects with ≥3 MRFs. Our findings suggest that plasma MMP-9 levels and MMP-9 haplotypes may help to discriminate obese subjects at an increased cardiovascular risk.     

Association analysis of ILVBL gene polymorphisms with aspirin-exacerbated respiratory disease in asthma

Background

We previously reported that the ILVBL gene on chromosome 19p13.1 was associated with the risk for aspirin-exacerbated respiratory disease (AERD) and the percent decline of forced expired volume in one second (FEV1) after an oral aspirin challenge test. In this study, we confirmed the association between polymorphisms and haplotypes of the ILVBL gene and the risk for AERD and its phenotype.

Methods

We recruited 141 AERD and 995 aspirin-tolerant asthmatic (ATA) subjects. All study subjects underwent an oral aspirin challenge (OAC). Nine single nucleotide polymorphisms (SNPs) with minor allele frequencies above 0.05, which were present in the region from 2 kb upstream to 0.5 kb downstream of ILVBL in Asian populations, were selected and genotyped.

Results

In an allelic association analysis, seven of nine SNPs were significantly associated with the risk for AERD after correction for multiple comparisons. In a codominant model, the five SNPs making up block2 (rs2240299, rs7507755, rs1468198, rs2074261, and rs13301) showed significant associations with the risk for AERD (corrected P?=?0.001–0.004, OR?=?0.59–0.64). Rs1468198 was also significantly associated with the percent decline in FEV1 in OAC tests after correction for multiple comparisons in the codominant model (corrected P?=?0.033), but the other four SNPs in hapblock2 were not.

Conclusion

To the best of our knowledge, this is the first report of an association between SNPs on ILVBL and AERD. SNPs on ILVBL could be promising genetic markers of this condition.

     

Epigenetic and genetic variation in <Emphasis Type="Italic">GATA5</Emphasis> is associated with gastric disease risk

Gastric cancer incidence varies considerably among populations, even those with comparable rates of Helicobacter pylori infection. To test the hypothesis that genetic variation plays a role in gastric disease, we assessed the relationship between genotypes and gastric histopathology in a Colombian study population, using a genotyping array of immune-related single nucleotide polymorphisms (SNPs). Two synonymous SNPs (rs6061243 and rs6587239) were associated with progression of premalignant gastric lesions in a dominant-effects model after correction for multiple comparisons (p = 2.63E?07 and p = 7.97E?07, respectively); effect sizes were β = ?0.863 and β = ?0.815, respectively, where β is an estimate of effect on histopathology scores, which ranged from 1 (normal) to 5 (dysplasia). In our replication cohort, a second Colombian population, both SNPs were associated with histopathology when additively modeled (β = ?0.256, 95 % CI = ?0.47, ?0.039; and β = ?0.239, 95 % CI = ?0.45, ?0.024), and rs6587239 was significantly associated in a dominant-effects model (β = ?0.330, 95 % CI = ?0.66, 0.00). Because promoter methylation of GATA5 has previously been associated with gastric cancer, we also tested for the association of methylation status with more advanced histopathology scores in our samples and found a significant relationship (p = 0.001). A multivariate regression model revealed that the effects of both the promoter methylation and the exonic SNPs in GATA5 were independent. A SNP-by-methylation interaction term was also significant. This interaction between GATA5 variants and GATA5 promoter methylation indicates that the association of either factor with gastric disease progression is modified by the other.     

Effects of natural resistance-associated macrophage protein 1 and toll-like receptor 2 gene polymorphisms on post-weaning piglet survivability

Predicting resistance or susceptibility to infectious diseases on the basis of the genotypes of animals regarding disease or immune related genes could be important in animal production. We evaluated the potential influence of the genetic polymorphisms of four immune related genes, porcine beta defensin 4, interferon-induced GTP-binding protein Mx1, natural resistance-associated macrophage protein 1 (Nramp1), and Toll-like receptor 2 (TLR2) on post-weaning piglet survivability in farms. We selected a single SNP that satisfied the criteria of non-synonymous substitutions and the minor allele frequency >0.1 from each gene, and performed PCR–RFLP. Distributions of allele and genotype frequencies of the SNPs were, in general, significantly different among the five breeds (Berkshire, Yorkshire, Duroc, Landrace, and Korean native pigs. Initially, 371 randomly collected Yorkshire × Landrace F1 piglets consisting of post-weaning survival (n = 185) and non-survival groups (n = 186) were genotyped for the selected SNPs. For the Nramp1 and TLR2 SNPs, genotype frequencies were significantly different between the two groups (P < 0.05). To confirm the results, additional animals that were collected in a different time-period were genotyped for the Nramp1 (n = 390) and TLR2 (n = 240) SNPs. The results using the combined samples (n = 761) were consistent with the initial analysis (P < 0.01), suggesting that the genetic polymorphisms of Nramp1 and TLR2 affect post-weaning piglet survivability. The relative risks, i.e. odds ratios, between the beneficial and non-beneficial genotypes to piglet survivability were 4.88 and 29.65 for the Nramp1 and TLR2 SNPs, respectively.     

Influences of −482C&gt;T and 3238G&gt;C polymorphisms of the <Emphasis Type="Italic">Apolipoprotein C3</Emphasis> gene on prevalence of metabolic syndrome

Apolipoprotein C3 (ApoC3) plays a regulatory role in triglyceride (TG) metabolism. The higher level of TG can be a cause in pathogenesis of the vascular diseases or metabolic syndrome (MetS). In this study, we examined the associations of ApoC3 polymorphisms (?482C>T rs2854117 and 3238G>C rs5128) with Korean MetS patients. A total of 835 subjects were investigated, including 320 patients with MetS and 515 healthy subjects. The genotype analysis of the ApoC3 polymorphisms was performed by polymerase chain reaction-restriction fragment length polymorphism methods. Of the two polymorphisms studied, we observed a significant difference in the ?482C>T polymorphism between the MetS and control groups. The TT genotype of the ?482C>T polymorphism was associated with increased risk for MetS, compared with the controls (OR 1.627, 95 % CI 1.075–2.463, P = 0.021). The association was female-specific. No associations were found for the risk of MetS in the 3238G>C polymorphism. Haplotypes composed of two polymorphisms, however, were associated with MetS susceptibility in only male group. The 3238G>C polymorphism was significantly associated with TG levels (P = 0.013). Our data suggest that the ApoC3 ?482C>T polymorphism is associated with increased MetS susceptibility in the Korean population.     

Genomic structure,expression and association study of the porcine <Emphasis Type="Italic">FSD2</Emphasis>

The fibronectin type III and SPRY domain containing 2 (FSD2) on porcine chromosome 7 is considered a candidate gene for pork quality, since its two domains, which were present in fibronectin and ryanodine receptor. The fibronectin type III and SPRY domains were first identified in fibronectin and ryanodine receptor, respectively, which are candidate genes for meat quality. The aim of this study was to elucidate the genomic structure of FSD2 and functions of single nucleotide polymorphisms (SNPs) within FSD2 that are related to meat quality in pigs. Using a bacterial artificial chromosome clone sequence, we revealed that porcine FSD2 consisted of 13 exons encoding 750 amino acids. In addition, FSD2 was expressed in heart, longissimus dorsi muscle, psoas muscle, and tendon among 23 kinds of porcine tissues tested. A total of ten SNPs, including four missense mutations, were identified in the exonic region of FSD2, and two major haplotypes were obtained based on the SNP genotypes of 633 Berkshire pigs. Both haplotypes were associated significantly with intramuscular fat content (IMF, P < 0.020) and moisture percentage (MP, P < 0.002). Moreover, haplotype 2 was associated with meat color, affecting yellowness (P = 0.002). These haplotype effects were further supported by the alteration of putative protein structures with amino acid substitutions. Taken together, our results suggest that FSD2 haplotypes are involved in regulating meat quality including IMF, MP, and meat color in pigs, and may be used as meaningful molecular makers to identify pigs with preferable pork quality.     

Genetic Polymorphism of <Emphasis Type="Italic">GABRR2</Emphasis> Modulates Individuals’ General Cognitive Ability in Healthy Chinese Han People

Previous studies have indicated that the cognitive impairment or deficit is associated with GABAergic signaling in central nervous system. Inspired by the finding that receptor GABRR2 modulates concentration of GABA and phasic inhibitory GABAergic transmission in brain. This study investigated to what extent a genetic variant (c.1423C>T, rs282129) of GABRR2 gene modulates individuals’ general cognitive ability in 987 Chinese Han people. Results showed a significant influence of GABRR2 gene polymorphism on individuals’ Raven’s Standard Progressive Matrices (RSPM) performance (F = 3.58, P = .028 by ANOVA and χ ² = 9.35, P = .009 by K–W test, respectively), even if non-genetic factors were partialed out (gender, major, types of birthplace, and socioeconomic index) (B = ?.67, SE = .26, t = 2.63, P = .009). The finding provided a strong evidence, to our knowledge, for the view that genetic variant of GABRR2 gene may contribute to the difference of individuals’ general cognitive ability, independently.     

Associations of rs3740677 within <Emphasis Type="Italic">GAB2</Emphasis> Gene with LOAD in Chinese Han Population

GRB2-associated binding protein 2 (GAB2) has been identified as a crucial factor in Alzheimer’s disease (AD), and ten common variants within GAB2 have been detected to be associated with AD onset risk in genome-wide association studies (GWAS). Here, we first screened a common locus (rs3740677) in 3′ UTR of GAB2 sequence which is targeted by the miRNA-185 and initiatively explored the probable associations of rs3740677 with risk for late-onset AD (LOAD) in a large scale case–control study from Chinese Han populations (992 LOAD patients and 1358 healthy subjects). Eventually, the genotype (P?=?0.024) and allele (P?=?0.008) distribution of rs3740677 showed significant difference between LOAD and control group, and we observed a significant association of T allele in rs3740677 with LOAD risk in multivariate analysis and it decreased the risk for LOAD (dominant: OR?=?0.831, 95 % CI?=?0.702–0.983, P?=?0.031; additive: OR?=?0.855, 95 % CI?=?0.745–0.983, P?=?0.027) adjusted for age, gender, and APOE ε4 status. Our study further confirmed the association of GAB2 and AD. However, the absolute and correct association of rs3740677 with AD still required more investigations in diverse regions and ethnics.     

Genetic risk factors for myocardial infarction more clearly manifest for early age of first onset

Epidemiological genetics established that heritability in determining the risk of myocardial infarction (MI) is substantially greater when MI occurs early in life. However, the genetic architecture of early-onset and late-onset MI was not compared. We analyzed genotype frequencies of SNPs in/near 20 genes whose protein products are involved in the pathogenesis of atherosclerosis in two groups of Russian patients with MI: the first group included patients with age of first MI onset <60 years (N?=?230) and the second group with onset ≥60 years (N?=?174). The control group of corresponding ethnicity consisted of 193 unrelated volunteers without cardiovascular diseases (93 individuals were over 60 years). We found that in the group of patients with age of onset <60 years, SNPs FGB rs1800788*T, TGFB1 rs1982073*T/T, ENOS rs2070744*C and CRP rs1130864*T/T were associated with risk of MI, whereas in patients with age of onset ≥60 years, only TGFB1 rs1982073*T/T was associated with risk of MI. Using APSampler software, we found composite markers associated with MI only in patients with early onset: FGB rs1800788*T?+?TGFB1 rs1982073*T; FGB rs1800788*T?+?LPL rs328*C?+?IL4 rs2243250*C; FGB rs1800788*T?+?ENOS rs2070744*C (Fisher p values of 1.4?×?10^?6 to 2.2?×?10^?5; the permutation p values of 1.1?×?10^?5 to 3.0?×?10^?4; ORs?=?2.67–2.54). Alleles included in the combinations were associated with MI less significantly and with lower ORs than the combinations themselves. The result showed a substantially greater contribution of the genetic component in the development of MI if it occurs early in life, and demonstrated the usefulness of genetic testing for young people.     

Association study of protamine 2 (<Emphasis Type="Italic">PRM2</Emphasis>) gene polymorphism with male infertility in Chinese Han population

Protamine 2 (PRM2), an essential nuclear protein expressed in sperm, is known to be involved in the spermatogenesis. Although PRM2 defects have been reported to be involved in male infertility, studies for the relationship between male infertility and PRM2 polymorphisms are inconclusive. With the purpose to determine the association of PRM2 variant with male infertility in Chinese Han population, one single nucleotide polymorphism locus G398C in PRM2 which might play a role in semen quality was selected and the variant frequency was analyzed in 144 idiopathic infertile men (case group) and 111 proven-fertile men (control group) in the study. Three genotypes were discovered in the studied population and statistical analysis showed that the frequencies of GG and GC genotypes of PRM2 G398C were significantly different between the fertile and infertile men (P < 0.05) and GC genotype was associated with increased risk of male infertility (OR = 1.795, 95 % CI 1.070–3.013, P = 0.026). Further, the C allele distribution was significantly elevated in infertile group (OR = 1.484, 95 % CI 1.001–2.200, P = 0.049). Moreover, we discovered that sperm motility, progressive motility, sperm DNA integrity as well as nuclear maturity rate of GG genotype presented the highest values and were dramatically different with that of CC genotype (P < 0.05). Our results gave the first evidence that PRM2 G398C polymorphism was associated with the pathogenesis of male infertility and its genetic variation was in relation to semen quality in Chinese Han population.     

Associations of HSP90AA2 gene polymorphisms with disease susceptibility,glucocorticoids efficacy and health-related quality of life in Chinese systemic lupus erythematosus patients

Although the current glucocorticoids (GCs) treatment for systemic lupus erythematosus (SLE) is effective to a certain extent, the difference in therapeutic effect between patients is still a widespread problem. Some patients can have repeated attacks that greatly diminish their quality of life. This study was conducted to investigate the relationship between HSP90AA2 polymorphisms and disease susceptibility, GCs efficacy and health-related quality of life (HRQoL) in Chinese SLE patients. A case–control study was performed in 470 SLE patients and 470 normal controls. Then, 444 patients in the case group were followed up for 12 weeks to observe efficacy of GCs and improvement of HRQoL. Two single nucleotide polymorphisms (SNPs) of HSP90AA2 were selected for genotyping: rs1826330 and rs6484340. HRQoL was assessed using the SF-36 questionnaire. The minor T allele of rs1826330 and the TT haplotype formed by rs1826330 and rs6484340 showed associations with decreased SLE risk (T allele: P_BH?=?0.022; TT haplotype: P_BH?=?0.033). A significant association between rs6484340 and improvement of HRQoL was revealed in the follow-up study. Five subscales of SF-36 were appeared to be influenced by rs6484340: total score of SF-36 (additive model: P_BH?=?0.026), physical function (additive model: P_BH?=?0.026), role-physical (recessive model: P_BH?=?0.041), mental health (dominant model: P_BH?=?0.047), and physical component summary (additive model: P_BH?=?0.026). No statistical significance was found between HSP90AA2 gene polymorphisms and GCs efficacy. These results revealed a genetic association between HSP90AA2 and SLE. Remarkably, HSP90AA2 has an impact on the improvement of HRQoL in Chinese population with SLE.     

<Emphasis Type="Italic">PPARGC1B</Emphasis> gene is associated with Kashin-Beck disease in Han Chinese

Kashin-Beck disease (KBD) is a chronic osteochondropathy. The genetic basis of KBD remains elusive now. To investigate the relationship between PPARGC1B gene polymorphism and KBD, we conducted a two-stage association study using 2743 unrelated Han Chinese subjects. In the first stage, three SNPs rs1078324, rs4705372, and rs11743128 of PPARGC1B gene were genotyped in 559 KBD patients and 467 health controls using Sequenom MassARRAY platform. In the second stage, the association analysis results of PPARGC1B with KBD were replicated using an independent sample of 1717 subjects. SNP association analysis was conducted by PLINK software. Genotype imputation was conducted by IMPUTE 2.0 against the reference panel of the 1000 genome project. Bonferroni multiple testing correction was performed. We observed a significant association signal at rs4705372 (P?=?0.0160) and a suggestive association signal at rs11743128 (P?=?0.0290). Further replication study confirmed the association signals of rs4705372 (P?=?0.0026) and rs11743128 (P?=?0.0387) in the independent validation sample. Our study results suggest that PPARGC1B is a novel susceptibility gene of KBD.     

Genetic variants influencing lipid levels and risk of dyslipidemia in Chinese population

Recently, several human genetic and genomewide association studies (GWAS) have discovered many genetic loci that are associated with the concentration of the blood lipids. To confirm the reported loci in Chinese population, we conducted a cross-section study to analyse the association of 25 reported SNPs, genotyped by the ABI SNaPshot method, with the blood levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) in 1900 individuals by multivariate analysis. Logistic regression was applied to assess the association of the genetic loci with the risk of different types of dyslipidemia. Our study has convincingly identified that 12 of 25 studied SNPs were strongly associated with one or more blood lipid parameters (TC, LDL, HDL and TG). Among the 12 associated SNPs, 10 significantly influence the risk of one or more types of dyslipidemia. We firstly found four SNPs (rs12654264 in HMGCR; rs2479409 in PCSK9; rs16996148 in CILP2, PBX4; rs4420638 in APOE-C1-C4-C2) robustly and independently associate with four types of dyslipidemia (MHL, mixed hyperlipidemia; IHTC, isolated hypercholesterolemia; ILH, isolated low HDL-C; IHTG, isolated hypertriglyceridemia). Our results suggest that genetic susceptibility is different on the same candidate locus for the different populations. Meanwhile, most of the reported genetic variants strongly influence one or more plasma lipid levels and the risk of dyslipidemia in Chinese population.