Search

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. [ABSTRACT FROM AUTHOR]

Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) on chromosome 6p21.1 and 6p22.3 as type 2 diabetes (T2D) susceptibility loci in the European and Japanese populations. However, these SNPs have not been well evaluated in Chinese population. Here, we performed a case-control study with 2925 T2D cases and 3281 controls in a Chinese population. We used TaqMan OpenArray and Sequenom MassARRAY to genotype the four SNPs (rs4712523, rs7756992, rs4712524 and rs6931514) in CDKAL1 (cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1) at 6p22.3 and one SNP (rs9472138) near vascular endothelial growth factor A (VEGFA) at 6p21.1. All the five SNPs were significantly associated with T2D risk with overall effects (odds ratio, OR) from 1.19 to 1.29 in the additive genetic model (rs6931514: OR=1.29, 95% confidence intervals (95% CI)=1.19-1.39, P=5.6 × 10−10; rs7756992: OR=1.23, 95% CI=1.15-1.32, P=1.2 × 10−8; rs4712523: OR=1.25, 95% CI=1.15-1.35, P=3.8 × 10−8; rs4712524: OR=1.24, 95% CI=1.15-1.35, P=6.8 × 10−8; rs9472138: OR=1.19, 95% CI=1.05-1.34, P=006). Conditional analysis identified two independent signals (rs6931514 at 6p22.3 and rs9472138 at 6p21.1) that were significantly associated with T2D. Compared with the wild homozygote of rs6931514 and rs9472138, subjects with variant alleles of the two SNPs had increased risk for T2D susceptibility in a dose-response manner (Ptrend=7.4 × 10−12). Our findings indicated that genetic variants of CDKAL1 and VEGFA on chromosome 6 may contribute to T2D risk in Chinese population, especially for rs9472138 at 6p21.1 identified for the first time to significantly increase the T2D risk in Chinese individuals. [ABSTRACT FROM AUTHOR]

Two recent genome-wide association studies reported significant associations of genetic variants at 1q22, 10q23 and 20p13 with gastric cancer (GC) risk in Chinese populations. However, these findings have not been confirmed in other independent studies. Here, we performed an independent case–control study in a Chinese population by genotyping three loci (rs4072037A>G at 1q22, rs2274223A>G at 10q23 and rs13042395C>T at 20p13) in 1681 GC cases and 1858 controls. We found that rs4072037 at 1q22 and rs2274223 at 10q23 were significantly associated with risk of GC with per allele odds ratio (OR) of 0.72 [95% confidence interval (CI): 0.63–0.81; P = 2.98 × 10−7] and 1.42 (95% CI: 1.27–1.58; P = 9.68 × 10−10), respectively. The association was more prominent for rs2274223 in female (OR = 1.86, 95% CI: 1.49–2.32) and gastric cardia adenocarcinoma (GCA) (OR = 1.71, 95% CI: 1.49–1.95). Furthermore, we combined the two single-nucleotide polymorphisms to evaluate the joint effect and found that the GC risk significantly increased with the number of risk allele increasing with a trend P value of 6.66 × 10−16, and individuals with four risk alleles had a 3.28-fold (95% CI: 1.75–6.13) risk of GC compared with those having no risk alleles. However, no significant association was detected between rs13042395 at 20p13 and GC risk (OR = 1.04, 95% CI: 0.94–1.15; P = 0.452). In conclusion, our results indicate that genetic variants at 1q22 and 10q23 but not 20p13 may serve as candidate markers for GC susceptibility in the Chinese population. [ABSTRACT FROM AUTHOR]

Genome-wide association studies (GWAS) in populations of European ancestry have identified nine single nuclear polymorphisms (SNP) on chromosome 11 related to type 2 diabetes (T2D) susceptibility. Herein, we further evaluate the association of these SNPs and T2D in a Chinese Han population. We performed a case-control study of 2925 T2D cases and 3281 controls to evaluate the association of five SNPs of KCNJ11 , MTNR1B , CENTD2 and LOC387761 and T2D in addition to the previously reported four SNPs of KCNQ1 . Multiple logistic regression was used to evaluate SNP's effect by adjustment for confounding factor age, sex and BMI. In the first stage, SNPs rs1552224 at CENTD2 were significantly associated with T2D and the association was statistically significant in the whole study population (P = 0.001) although it was not replicated in the second stage. rs1552224 and rs2237897 of KCNQ1 showed significant joint effect on T2D and there was a significant decreased risk of T2D with the number increase of risk alleles (P for trend = 3.81 × 10 −17 ). Compared to those without carrying any risk allele, individuals carrying one, two, and three or four risk alleles had a 30.7%, 44.8% and 62.0% decreased risk for developing T2D, respectively. Our finding suggests that genetic variant rs1552224 of CENTD2 on chromosome 11 contributes to an independent effect as well as joint cumulative effect with rs2237897 of KCNQ1 on the risk of T2D in Chinese Han population, and further functional research would be warranted. [ABSTRACT FROM AUTHOR]