Association between variants of EXT2 and type 2 diabetes: a replication and meta-analysis

Recent publications have found an association between variants of exostosin 2 (EXT2) gene and the risk of type 2 diabetes in some population but not in others. In an attempt to address these inconsistencies, we investigated EXT2 variants in two independent cohorts, and conducted a literature-based meta-analysis. Through regression model, we assessed the relationship between the EXT2 single nucleotide polymorphisms (SNPs) (rs3740878, rs11037909 and rs1113132) and the risk of type 2 diabetes in Han Chinese population, including a total of 2,533 cases and 2,643 controls. We combined our data with that from previously published studies and performed a meta-analysis to evaluate the effect size of the gene. Consistent with some studies, we found marginal association for the rs3740878 (OR = 1.07, 95 % CI = 0.99, 1.16, p = 0.09), rs11037909 (OR = 1.07, 95 % CI = 0.99, 1.16, p = 0.08), and rs1113132 (OR = 1.08, 95 % CI = 1.00, 1.17, p = 0.06) in our 2 cohorts. Meta-analysis, comprising 9,224 type 2 diabetes and 10,484 controls, revealed that three SNPs (rs3740878, rs11037909 and rs1113132) in EXT2 were significantly associated with type 2 diabetes (ORs range from 1.06 to 1.07, p = 0.038, p = 0.008 and p = 0.005, respectively). Variation in the EXT2 locus appears to be associated with a small increase in the risk of type 2 diabetes. However, well-designed prospective studies with larger sample size and more ethnic groups are needed to further validate the results.     

Genetic Variants Associated with Lipid Profiles in Chinese Patients with Type 2 Diabetes

Dyslipidemia is a strong risk factor for cardiovascular disease among patients with type 2 diabetes (T2D). The aim of this study was to identify lipid-related genetic variants in T2D patients of Han Chinese ancestry. Among 4,908 Chinese T2D patients who were not taking lipid-lowering medications, single nucleotide polymorphisms (SNPs) in seven genes previously found to be associated with lipid traits in genome-wide association studies conducted in populations of European ancestry (ABCA1, GCKR, BAZ1B, TOMM40, DOCK7, HNF1A, and HNF4A) were genotyped. After adjusting for multiple covariates, SNPs in ABCA1, GCKR, BAZ1B, TOMM40, and HNF1A were identified as significantly associated with triglyceride levels in T2D patients (P < 0.05). The associations between the SNPs in ABCA1 (rs3890182), GCKR (rs780094), and BAZ1B (rs2240466) remained significant even after correction for multiple testing (P = 8.85×10⁻³, 7.88×10⁻⁷, and 2.03×10⁻⁶, respectively). BAZ1B (rs2240466) also was associated with the total cholesterol level (P = 4.75×10⁻²). In addition, SNP rs157580 in TOMM40 was associated with the low-density lipoprotein cholesterol level (P = 6.94×10⁻³). Our findings confirm that lipid-related genetic loci are associated with lipid profiles in Chinese patients with type 2 diabetes.     

Genetic variants in the JAK1 gene confer higher risk of Behcet’s disease with ocular involvement in Han Chinese

Recent surveys have identified SLC22A4, SLC22A5, RUNX1, JAK1 as susceptibility genes for various immune-related diseases. An association study was performed in 738 Behcet’s patients with ocular involvement and 1,873 controls using the iPLEX system method. The first-stage study for 30 SNPs showed that SNPs rs2780815, rs310241, rs3790532 in JAK1 were associated with Behcet’s disease in Han Chinese (Pc_{(Bonferroni correction)} = 0.022–7.7 × 10^?3). The G allele and AA genotype of SNP rs2834643 in RUNX1 (Pc = 0.041–1.75 × 10^?3), but none of the other SNPs, were associated with Behcet’s disease. Haplotype analysis for the SLC22A4, SLC22A5 genes showed an increased tendency for AGTCTGCCGC frequency in patients compared with controls; however, the significance was lost after Bonferroni correction (P = 0.004, Pc > 0.05). Subsequently, we further replicated the significantly associated SNPs using another independent cohort. Replication and combining studies showed that three SNPs rs2780815, rs310241, rs3790532 in JAK1, but not SNP rs2834643 in RUNX1, were consistently associated with Behcet’s disease (replication: Pc = 0.012–9.60 × 10^?4; combining: Pc = 0.030–1.90 × 10^?4). SNPs rs2780815, rs310241, rs3790532 were estimated to confer a population attributable risk of 35.0, 28.0, 27.0 %, respectively. We found a strong association between HLA-B51 with Behcet’s disease in Chinese Han population (P = 1.35 × 10^?73; OR = 5.15; 95 % CI 4.28–6.19). GMDR analysis showed that no gene–gene interaction was detectable between JAK1 and HLA-B51. Logistic analysis indicated that the JAK1 gene was an independent risk factor for Behcet’s disease (P > 0.05). Real-time PCR analysis showed that no difference on the expression of JAK1 in PBMCs or LPS-stimulated PBMCs between individuals with the different rs1762780815 genotypes studied (P > 0.05). In conclusion, this study suggests that JAK1, but not SLC22A4, SLC22A5 and RUNX1, contributes to the genetic susceptibility to Behcet’s disease with ocular involvement.     

Cumulative Effect and Predictive Value of Genetic Variants Associated with Type 2 Diabetes in Han Chinese: A Case-Control Study

Background

Genome-wide association studies (GWAS) have identified dozens of single nucleotide polymorphisms (SNPs) associated with type 2 diabetes risk. We have previously confirmed the associations of genetic variants in HHEX, CDKAL1, VEGFA and FTO with type 2 diabetes in Han Chinese. However, the cumulative effect and predictive value of these GWAS identified SNPs on the risk of type 2 diabetes in Han Chinese are largely unknown.

Methodology/Principal Findings

We conducted a two-stage case-control study consisting of 2,925 cases and 3,281controls to examine the association of 30 SNPs identified by GWAS with type 2 diabetes in Han Chinese. Significant associations were found for proxy SNPs at KCNQ1 [odds ratio (OR) = 1.41, P = 9.91 × 10–16 for rs2237897], CDKN2A/CDKN2B (OR = 1.30, P = 1.34 × 10–10 for rs10811661), CENTD2 (OR = 1.28, P = 9.88 × 10-4 for rs1552224) and SLC30A8 (OR = 1.19, P = 1.43 × 10-5 for rs13266634). We further evaluated the cumulative effect on type 2 diabetes of these 4 SNPs, in combination with 5 SNPs at HHEX, CDKAL1, VEGFA and FTO reported previously. Individuals carrying 12 or more risk alleles had a nearly 4-fold increased risk for developing type 2 diabetes compared with those carrying less than 6 risk alleles [adjusted OR = 3.68, 95% confidence interval (CI): 2.76–4.91]. Adding the genetic factors to clinical factors slightly improved the prediction of type 2 diabetes, with the area under the receiver operating characteristic curve increasing from 0.76 to 0.78. However, the difference was statistically significant (P < 0.0001).

Conclusions/Significance

We confirmed associations of SNPs in KCNQ1, CDKN2A/CDKN2B, CENTD2 and SLC30A8 with type 2 diabetes in Han Chinese. The utilization of genetic information may improve the accuracy of risk prediction in combination with clinical characteristics for type 2 diabetes.     

Identification of genetic associations of SP110/MYBBP1A/RELA with pulmonary tuberculosis in the Chinese Han population

Genetic factors play important roles in the development of tuberculosis (TB). SP110 is a promising candidate target for controlling TB infections. However, several studies associating SP110 single nucleotide polymorphisms (SNPs) with TB have yielded conflicting results. This may be partly resolved by studying other genes associated with SP110, such as MYBBP1A and RELA. Here, we genotyped 6 SP110 SNPs, 8 MYBBP1A SNPs and 5 RELA SNPs in 702 Chinese pulmonary TB patients and 425 healthy subjects using MassARRAY and SNaPshot methods. Using SNP-based analysis with Bonferroni correction, rs3809849 in MYBBP1A [Pcorrected (cor) = 0.0038] and rs9061 in SP110 (Pcor = 0.019) were found to be significantly associated with TB. Furthermore, meta-analysis of rs9061 in East Asian populations showed that the rs9061 T allele conferred significant risk for TB [P = 0.002, pooled odds ratio (OR), 1.24, 95 % confidence interval (CI) = 1.08–1.43]. The MYBBP1A GTCTTGGG haplotype and haplotypes CGACCG/TGATTG within SP110 were found to be markedly and significantly associated with TB (P = 2.00E?06, 5.00E?6 and 2.59E?4, respectively). Gene-based analysis also demonstrated that SP110 and MYBBP1A were each associated with TB (Pcor = 0.011 and 0.035, respectively). The logistic regression analysis results supported interactions between SP110 and MYBBP1A, indicating that subjects carrying a GC/CC genotype in MYBBP1A and CC genotype in SP110 possessed the high risk of developing TB (P = 1.74E?12). Our study suggests that a combination of SP110 and MYBBP1A gene polymorphisms may serve as a novel marker for identifying the risk of developing TB in the Chinese Han population.     

Identification of BACH2 as a susceptibility gene for Graves’ disease in the Chinese Han population based on a three-stage genome-wide association study

The BACH2 gene regulates B cell differentiation and function and has been reported to be a shared susceptibility gene for several autoimmune diseases. Our previous genome-wide association study (GWAS) indicated that several single nucleotide polymorphisms (SNPs) in the BACH2 gene are associated with Graves’ disease (GD) in the Chinese Han population; however, the association did not achieve genome-wide significance levels. Recently, this association of BACH2 with GD was confirmed in Caucasians in the UK population, but fine mapping in this region has not yet been reported. Here, we provide a refined analysis of a 331-kb region in the BACH2 gene, which harbors 359 SNPs, using GWAS data from 1,442 GD patients and 1,468 controls. The SNPs rs2474619 and rs9344996 were implied as the independent variants associated with GD by forward and two-locus logistic regression analysis. We genotyped eight out of 10 tagSNPs with P < 1 × 10^?3 in 3,508 GD patients and 3,209 controls, the results also showed that rs2474619 was independently associated with GD in the combined population from GWAS and the second stage (P = 1.81 × 10^?5). The rs2474619 and rs9344996 were further genotyped in the third stage cohorts, and rs2474619 showed evidence of association with GD at genome-wide significance levels in the combined population (P = 3.28 × 10^?8, odds ratio = 1.13). The association of rs9344996 with GD can be explained by its linkage to rs2474619 in the combined population. Our study clearly demonstrated that BACH2 is a susceptibility gene for GD in the Chinese Han population and further supported rs2474619, in intron 2 of BACH2, is the best association signal with GD. However, the mechanism by which BACH2 confers increased risk of GD requires further study.     

KCNQ1 and type 2 diabetes: study in Hubei Han Chinese and meta-analysis in East Asian populations

Recent genome-wide association studies in East Asian poulations reported the association of KCNQ1 variants with type 2 diabetes. In the present study, we first investigated the association between rs2237892 in KCNQ1 and type 2 diabetes in a Hubei Han Chinese population (223 type 2 diabetes patients and 201 controls). The frequencies of CC genotype and C allele in type 2 diabetes patients were significantly higher than those of controls group (CC: 51.6% vs 39.3%, P=0.001; C: 72.2% vs 61.2%, P=0.001). The odds ratio for the risk allele C was 1.65 (95%CI 1.23–2.2, P=0.001). Then, we systematically reviewed the association of SNPs (rs2237892, rs2237895, rs2237897, rs2074196) in KCNQ1 with type 2 diabetes risk in a meta-analysis. Significant heterogeneity between studies was found for SNPs rs2237892 and rs2237897. Combined odds ratios of the rs2237892 C, rs2237895 C, rs2237897 C, rs2074196 G allele were 1.35 (95% CI 1.29–1.41, P<0.0001), 1.27 (95%CI 1.23–1.32, P<0.0001), 1.32 (95%CI 1.21–1.43, P<0.0001), 1.30 (95%CI 1.25–1.35, P<0.0001) respectively. Our results and meta-analysis demonstrated that KCNQ1 polymorphisms were reproducibly associated with the risk of type 2 diabetes in Han Chinese and East Asian populations.     

The genetic contribution of CIDEA polymorphisms, haplotypes and loci interaction to obesity in a Han Chinese population

To investigate the association of tag-SNPs and haplotype structures of the CIDEA gene with obesity in a Han Chinese population. Five single nucleotide polymorphisms (SNPs) (rs1154588/V115F, rs4796955/SNP1, rs8092502/SNP2, rs12962340/SNP3 and rs7230480/SNP4) in the CIDEA gene were genotyped in a case–control study. Genotyping was performed using the sequenom matrix-assisted laser desorption/ionization time-of-flight mass spectrometry iPLEX platform. There were significant differences between the obese and control groups in genotype distributions of V115F (P < 0.001), SNP1 (P = 0.006) and SNP2 (P = 0.005). Carriers of V115F-TT, SNP1-GG and SNP2-CC genotypes had a 2.84-fold (95 % CI 1.73–4.66), 2.19-fold (95 % CI 1.09–4.38) and 4.37-fold (95 % CI 1.21–15.08) increased risk for obesity, respectively. Haplotype analysis showed that GTTC (SNP1/SNP2/V115F/SNP4) had 1.41-fold (95 % CI 1.02–1.95) increased risk for obesity; whereas, haplotype TTGC had 0.48-fold (95 % CI 0.24–0.96) decreased risk for obesity. Using the multifactor dimensionality reduction method, the best model including SNP1, SNP2, V115F and SNP4 polymorphisms was identified with a maximum testing accuracy to 59.32 % and a perfect cross-validation consistency of 10/10 (P = 0.011). Logistic analysis indicated that there was a significant interaction between SNP1 and V115F associated with obesity. Subjects having both genotypes of SNP1/GG and V115F/TT were more susceptible to obesity in the Han Chinese population (OR 2.66, 95 %: 1.22–5.80). Genotypes of V115F/TT, SNP1/GG and SNP2/CC and haplotype GTTC of CIDEA gene were identified as risk factors for obesity in the Han Chinese population. The interaction between SNP1 and V115F could play a joint role in the development of obesity.     

Association of four insulin resistance genes with type 2 diabetes mellitus and hypertension in the Chinese Han population

Insulin resistance plays an important role in the development of type 2 diabetes mellitus (T2DM) and hypertension. The purpose of the present study was to evaluate the association between four insulin resistance genes (ADIPOQ, LEPR, RETN, and TRIB3) and both T2DM and hypertension. A total of 768 Han Chinese subjects were recruited into this study, including 188 cases who had T2DM alone, 223 cases who had hypertension alone, 181 cases with both T2DM and hypertension, and 176 control subjects with neither T2DM nor hypertension. Twenty-three tag SNPs in four insulin resistance genes were genotyped and analyzed for association with T2DM and hypertension. One intron SNP (rs13306519) in LEPR and one 3′UTR SNP (rs1063537) in ADIPOQ demonstrated a significant association with T2DM (P = 0.024 and 0.014 respectively). Another intron SNP (rs12037879) in LEPR and a promoter region SNP (rs266729) in ADIPOQ were significantly associated with hypertension (P = 0.041 and 0.042, respectively). These associations survived the permutation test (P = 0.023, 0.018, 0.026, and 0.035, respectively). These associations were still found to be significant in the additive model after adjusting for potential confounding factors including age, sex, BMI, HDL, LDL, total cholesterol, and triglyceride levels (P = 0.024, 0.016, 0.04, and 0.043, respectively). No other gene variants were found to be significantly associated with T2DM or hypertension (P > 0.05). None of the studied gene variants were found to be significantly associated with T2DM+ hypertension (P > 0.05). A significant interaction was observed between two SNPs rs13306519 in LEPR and rs266729 in ADIPOQ for T2DM (P_int = 0.012, OR_int = 2.67) and hypertension (P_int = 0.0041, OR_int = 2.23). These findings suggest that variants in ADIPOQ and LEPR are risk factors for T2DM and hypertension in the Chinese population and that variants in RETN and TRIB3 are not major risk factors for these diseases.     

NOS2A, TLR4, and IFNGR1 interactions influence pulmonary tuberculosis susceptibility in African-Americans

Tuberculosis (TB) has substantial mortality worldwide with 5–10% of those exposed progressing to active TB disease. Studies in mice and humans indicate that the inducible nitric oxide synthase (iNOS) molecule plays an important role in immune response to TB. A mixed case–control association study of individuals with TB, relatives, or close contact controls was performed in 726 individuals (279 case and 166 control African-Americans; 198 case and 123 control Caucasians). Thirty-nine single nucleotide polymorphisms (SNPs) were selected from the NOS2A gene for single SNP, haplotype, and multilocus interaction analyses with other typed candidate genes using generalized estimating equations. In African-Americans, ten NOS2A SNPs were associated with TB. The strongest associations were observed at rs2274894 (odds ratio (OR) = 1.84, 95% confidence interval (CI) [1.23–2.77], p = 0.003) and rs7215373 (OR = 1.67, 95% CI [1.17–2.37], p = 0.004), both of which passed a false discovery rate correction for multiple comparisons (q* = 0.20). The strongest gene–gene interactions were observed between NOS2A rs2248814 and IFNGR1 rs1327474 (p = 0.0004) and NOS2A rs944722 and IFNGR1 rs1327474 (p = 0.0006). Three other SNPs in NOS2A interacted with TLR4 rs5030729 and five other NOS2A SNPs interacted with IFNGR1 rs1327474. No significant associations were observed in Caucasians. These results suggest that NOS2A variants may contribute to TB susceptibility, particularly in individuals of African descent, and may act synergistically with SNPs in TLR4 and IFNGR1.     

Assessment of association of rs2200733 on chromosome 4q25 with atrial fibrillation and ischemic stroke in a Chinese Han population

Atrial fibrillation (AF) is the most common arrhythmia in the clinical setting and an independent risk factor for stroke. Approximately 10 million Chinese people are affected by AF, but the genetic basis is largely unknown. A recent genome-wide association study in Iceland identified association between SNP rs2200733 on 4q25 and AF; however, many independent replication studies are essential to unequivocally validate this association. To assess the association between rs2200733 and AF as well as that between rs2200733 and ischemic stroke in a mainland Chinese Han population, we carried out case–control association studies with 383 AF patients versus 851 non-AF controls and 811 ischemic stroke patients versus 688 non-stroke controls. Highly significant association was detected between rs2200733 and AF in a Chinese Han population (allelic P = 3.7 × 10^?11 with OR = 1.81; genotypic P = 4.1 × 10^?12 with a dominant model). When the AF cases were divided into lone AF (32.6%) and other types of AF (67.4%), significantly stronger association was found with lone AF (OR = 2.40, P = 1.3 × 10^?9 compared to OR = 1.59, P = 6.2 × 10^?7 for other types of AF; P = 0.02 for two ORs). No significant association was found between rs2200733 and ischemic stroke. Our results suggest that SNP rs2200733 confers a highly significant risk of AF, but not ischemic stroke, in a more representative Chinese Han population in the mainland China.     

Genetic variants at 4q21, 4q23 and 12q24 are associated with esophageal squamous cell carcinoma risk in a Chinese population

A recently published genome-wide association study (GWAS) in European populations identified several loci at 4q21, 4q23 and 12q24 that were associated with risk of upper aerodigestive tract (UADT) cancers, including esophageal squamous cell carcinoma (ESCC). In the current study, we conducted a case–control study in a Chinese population including 2,139 ESCC cases and 2,273 controls to evaluate the associations of six reported single nucleotide polymorphisms (SNPs) (rs1494961, rs1229984, rs1789924, rs971074, rs671 and rs4767364) with risk of ESCC. We found significant association with risk of ESCC for four SNPs, including rs1494961 in HEL308 at 4q21 [odds ratio (OR) = 1.15, 95 % confidence interval (CI) = 1.05–1.26], rs1229984 in ADH1B at 4q23 (OR = 1.24, 95 % CI = 1.13–1.36) and rs1789924 near ADH1C at 4q23 (OR = 1.20, 95 % CI = 1.03-1.39), and rs671 in ALDH2 at 12q24 (OR = 0.83, 95 % CI = 0.75–0.91). Combined analysis of these four SNPs showed a significant allele-dosage effect on ESCC risk for individuals with different number of risk alleles (P trend = 2.23 × 10^?11). Compared with individuals with “0–2” risk allele, those carrying “3”, “4” or “5 or more” risk alleles had 1.42-, 1.66-, or 1.76-fold risk of ESCC, respectively. Thus, our findings indicate that rs1494961 at 4q21, rs1229984 and rs1789924 at 4q23, and rs671 at 12q24 may be used as genetic biomarkers for ESCC susceptibility in Chinese population.     

The association of apolipoprotein E gene polymorphisms with cerebral palsy in Chinese infants

Apolipoprotein E (APOE, protein; ApoE, gene) is a lipid transport protein abundantly present in brain cells. Previous studies have suggested that there is an association between genetic variants of ApoE and susceptibility to cerebral palsy (CP). The purpose of this study was to explore whether the ApoE gene is involved in the etiology of CP in the Chinese population. In this study, 350 CP patients and 242 healthy control children were recruited. Genomic DNA was prepared from venous blood and all five single nucleotide polymorphisms (SNPs) in ApoE (rs769446, rs405509, rs121918399, rs429358, and rs190853081) were detected by the MassARRAY platform-based genotyping approach. The SHEsis program was used to analyze the genotyping data, and we systemically analyzed the association of the ApoE SNPs with different subtypes of CP. No significant association was detected between the e4 identified by the C allele of rs429358 and CP, but there were significant differences in allelic frequencies between the CP patients and controls at rs769446 (P = 0.005, P = 0.025 after Bonferroni correction), as well as between the CP patients with preterm birth (<34 gestational weeks) and controls at rs769446 (P = 0.001, P = 0.005 after Bonferroni correction). A haplotype consisting of the five SNPs rs769446(C), rs405509(C), rs121918399(C), rs429358(T), and rs190853081(G) was associated with a decreased risk of CP (P = 0.002 after Bonferroni correction). However, we found no significant association between any of the other three SNPs and CP based on different subgroup analyses. This study provides the first evidence that ApoE gene polymorphisms are a potential risk factor for CP in the Chinese population.     

Association of type 2 diabetes susceptibility genes (TCF7L2, SLC30A8, PCSK1 and PCSK2) and proinsulin conversion in a Chinese population

TCF7L2 and SLC30A8 have been found to be associated with type 2 diabetes mellitus (T2DM) as well as with impaired proinsulin processing recently, enzymes encoded by PCSK1 and PCSK2 are reported to play an important role in the process of proinsulin conversion. To investigate whether the single nucleotide polymorphisms (SNPs) of TCF7L2, SLC30A8, PCSK1 and PCSK2 were associated with T2DM as well as with proinsulin conversion in a Han Chinese population from Chongqing. A case–control study was performed in Han Chinese subjects with normal control (n = 152) and T2DM (n = 227), we genotyped rs7903146 and rs11196218 at TCF7L2, rs13266634 at SLC30A8, rs3811951 at PCSK1 and rs2021785 at PCSK2. Plasma levels of proinsulin were measured with an Enzyme Linked Immunosorbent Assay (ELISA). Genotype distribution and associations with T2DM and fasting levels of proinsulin and proinsulin/insulin ratios were analyzed. We confirmed the association of risk allele of rs2021785 at PCSK2 with type 2 diabetes also existed in Han Chinese population [OR = 1.4489 with 95% CI (1.0285, 2.0412), P = 0.0335]. Rs13266634 at SLC30A8 had a tendency to be associated with fasting plasma levels of proinsulin (P = 0.0639 in additive model). We did not find the significant association between other SNPs and T2DM or fasting levels of proinsulin or proinsulin/insulin ratios. Our results provide evidence that the association of PCSK2 and T2DM was also existed in Han Chinese population in Chongqing. We were underpowered to detect the association between other SNPs and T2DM or proinsulin conversion.     

A Single Nucleotide Polymorphism within DUSP9 Is Associated with Susceptibility to Type 2 Diabetes in a Japanese Population

Aims

The DUSP9 locus on chromosome X was identified as a susceptibility locus for type 2 diabetes in a meta-analysis of European genome-wide association studies (GWAS), and GWAS in South Asian populations identified 6 additional single nucleotide polymorphism (SNP) loci for type 2 diabetes. However, the association of these loci with type 2 diabetes have not been examined in the Japanese. We performed a replication study to investigate the association of these 7 susceptibility loci with type 2 diabetes in the Japanese population.

Methods

We genotyped 11,319 Japanese participants (8,318 with type 2 diabetes and 3,001 controls) for each of the 7 SNPs–rs5945326 near DUSP9, rs3923113 near GRB14, rs16861329 in ST6GAL1, rs1802295 in VPS26A, rs7178572 in HMG20A, rs2028299 near AP3S2, and rs4812829 in HNF4A–and examined the association of each of these 7 SNPs with type 2 diabetes by using logistic regression analysis.

Results

All SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports. One SNP, rs5945326 near DUSP9, was significantly associated with type 2 diabetes at a genome-wide significance level (p = 2.21×10⁻⁸; OR 1.39, 95% confidence interval [CI]: 1.24−1.56). The 6 SNPs derived from South Asian GWAS were not significantly associated with type 2 diabetes in the Japanese population by themselves (p≥0.007). However, a genetic risk score constructed from 6 South Asian GWAS derived SNPs was significantly associated with Japanese type 2 diabetes (p = 8.69×10⁻⁴, OR  = 1.06. 95% CI; 1.03−1.10).

Conclusions/interpretation

These results indicate that the DUSP9 locus is a common susceptibility locus for type 2 diabetes across different ethnicities, and 6 loci identified in South Asian GWAS also have significant effect on susceptibility to Japanese type 2 diabetes.     

Associations of type 2 diabetes with common variants in PPARD and the modifying effect of vitamin D among middle-aged and elderly Chinese

Background

Previous studies have identified that variants in peroxisome proliferator-activated receptor PPAR-δ (PPARD), a target gene of vitamin D, were significantly associated with fasting glucose and insulin sensitivity in European populations. This current study sought to determine (1) whether the genetic associations of PPARD variants with type 2 diabetes and its related traits could be replicated in Chinese Han population, and (2) whether the associations would be modified by the effect of vitamin D status.

Methods and Findings

We genotyped 9 tag single nucleotide polymorphisms (SNPs) that cover the gene of PPARD (rs2267664, rs6902123, rs3798343, rs2267665, rs2267668, rs2016520, rs2299869, rs1053049, and rs9658056) and tested their associations with type 2 diabetes risk and its related traits, including fasting glucose, insulin and HbA1c in 3,210 Chinese Hans. Among the 9 PPARD tag SNPs, rs6902123 was significantly associated with risk of type 2 diabetes (odds ratio 1.75 [95%CI 1.22–2.53]; P = 0.0025) and combined type 2 diabetes and impaired fasting glucose (IFG) (odds ratio 1.47 [95%CI 1.12–1.92]; P = 0.0054). The minor C allele of rs6902123 was associated with increased levels of fasting glucose (P = 0.0316) and HbA1c (P = 0.0180). In addition, we observed that vitamin D modified the effect of rs6902123 on HbA1c (P for interaction = 0.0347).

Conclusions/Significance

Our findings demonstrate that common variants in PPARD contribute to the risk of type 2 diabetes in Chinese Hans, and provided suggestive evidence of interaction between 25(OH)D levels and PPARD-rs6902123 on HbA1c.     

Association study of common variations of FBN1 gene and essential hypertension in Han Chinese population

Fibrillin-1 (FBN1) was reported to have impact on the physiological arterial stiffness and vascular remodeling with hypertension of recent years. In the previous study we reported the association of four functional single nucleotide polymorphisms (SNPs) of FBN1 gene and hypertension. Here, we further investigate the association of four tagging SNPs (tagSNPs) which covered remain genetic variation blocks of FBN1 gene with hypertension, blood pressure and efficacy of antihypertensive in a South Han Chinese population. A case–control study including 2,012 hypertension cases and 2,116 controls age- and sex-matched controls was conducted from a community-based population and four candidate tagSNPs of the FBN1 gene were genotyped. Association analysis by multiple logistic regression was conducted for allele, genotype and haplotype and hypertension, blood pressure trait and control status with antihypertensive. General linear model was applied to compare blood pressure levels between genotypes. The association of rs17361868 and hypertension was statistically significant and that was further observed in female, ≥55 years, non-smoking and non-drinking populations (P < 0.05). Significant association of rs668842, rs11635140 and hypertension were observed in <55 years population as well as the later in female and non-smoking populations respectively. Haplotype G-T constructed of rs668842 and rs11635140 was significantly associated with hypertension comparing to reference haplotype A-C (P = 0.022). Normally distributed square root of TGF-β1 (pg/ml) of hypertension cases (148.56 ± 66.46) was significantly higher than that of control (128.52 ± 65.11), P = 0.008. Furthermore, TGF-β1 was significantly correlated with SBP (r = 0.135, P = 0.018) and DBP (r = 0.154, P = 0.007) respectively whereas no statistical difference of blood pressure or TGF-β1 was observed between genotypes. Remarkably, rs17361868 were significantly associated with the status of blood pressure in the patients taking three of the antihypertensive drugs, Zhen Ju Jiang Ya tablets, Jiang Ya tablet and compound reserpine (P < 0.05). The present study provides further association evidence of FBN1 gene polymorphisms and hypertension, antihypertensive efficacy. Further replication of these results via association or prospective studies conducted in other populations is warranted.     

Genetic variants of IDE-KIF11-HHEX at 10q23.33 associated with type 2 diabetes risk: a fine-mapping study in Chinese population

Background

Genome-wide association studies (GWAS) in populations of European ancestry have mapped a type 2 diabetes susceptibility region to chromosome 10q23.33 containing IDE, KIF11 and HHEX genes (IDE-KIF11-HHEX), which has also been replicated in Chinese populations. However, the functional relevance for genetic variants at this locus is still unclear. It is critical to systematically assess the relationship of genetic variants in this region with the risk of type 2 diabetes.

Methodology/Principal Findings

A fine-mapping study was conducted by genotyping fourteen tagging single-nucleotide polymorphisms (SNPs) in a 290-kb linkage disequilibrium (LD) region using a two-stage case-control study of type 2 diabetes in a Chinese Han population. Suggestive associations (P<0.05) observed from 1,200 cases and 1,200 controls in the first stage were further replicated in 1,725 cases and 2,081 controls in the second stage. Seven tagging SNPs were consistently associated with type 2 diabetes in both stages (P<0.05), with combined odds ratios (ORs) ranging from 1.14 to 1.33 in the combined analysis. The most significant locus was rs7923837 [OR = 1.33, 95% confidence interval (CI): 1.21–1.47] at the 3′-flanking region of HHEX gene. SNP rs1111875 was found to be another partially independent locus (OR = 1.23, 95% CI: 1.13–1.35) in this region that was associated with type 2 diabetes risk. A cumulative effect of rs7923837 and rs1111875 was observed with individuals carrying 1, 2, and 3 or 4 risk alleles having a 1.27, 1.44, and 1.73-fold increased risk, respectively, for type 2 diabetes (P for trend = 4.1E-10).

Conclusions/Significance

Our results confirm that genetic variants of the IDE-KIF11-HHEX region at 10q23.33 contribute to type 2 diabetes susceptibility and suggest that rs7923837 may represent the strongest signal related to type 2 diabetes risk in the Chinese Han population.     

Analyses of longitudinal effects of gene-environment interactions on plasma C-reactive protein levels: the Hallym Aging Study

High C-reactive protein (CRP) level (above 3 mg/L), an inflammatory biomarker, is a well-known risk factor for cardiovascular disease. We investigated the longitudinal effects of interaction between genetic variants of seven candidate loci (i.e., IL6R, CRP, GCKR, IL6, CYP17A1, HNF1A, and APOE) and eight non-genetic factors (i.e., body mass index (BMI), total cholesterol to high density lipoprotein cholesterol ratio (T/HDL), systolic blood pressure, diastolic blood pressure (DBP), current smoking, alcohol consumption, regular exercise, and sleeping hours) on plasma hsCRP levels in a community-based cohort composed of 1,051 elderly Korean participants with a 6-year follow up. We applied a recently developed nonparametric approach, Survival Dimensionality Reduction (SDR) to evaluate gene-environment interactions using follow up data, and compared the results to those of conventional statistical approaches, Cox proportional hazard (CPH) regression model and log-rank test. Four gene variants significantly interacted with three non-genetic factors: SNPs rs2293571 (GCKR), rs1004467 (CYP17A1) and high DBP (HR = 3.22 and 2.95, P _G×E = 0.013 and 0.017, respectively); rs2464196 (HNF1A) and two non-genetic factors, regular exercise (HR = 3.78, P _G×E = 0.043) and high T/HDL (HR = 4.54, P _G×E = 0.042); and rs439401 (APOE) and regular exercise (HR = 3.01, P _G×E = 0.049). The interaction between the rs2464196 and T/HDL was consistently observed in both CPH model and SDR model (Accuracy = 0.86, P = 0.011). Investigating the effects of gene-environment interactions on baseline plasma hsCRP concentrations will provide clues to identify the pathway involved in increasing hsCRP level and the risks of related diseases.