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NBN plays a crucial role in carcinogenesis as a core component for both homologous recombination (HR) and non-homologous end-joining (NHEJ) DNA double-strand breaks (DSBs) repair pathways. Genetic variants in the NBN gene have been associated with multiple cancers risk, suggesting pleiotropic effect on cancer. We hypothesized that genetic variants in the NBN gene may modify the risk of gastric cancer. To test this hypothesis, we evaluated the association between four potentially functional single nucleotide polymorphisms in NBN and gastric cancer risk in a case–control study of 1,140 gastric cancer cases and 1,547 controls in a Chinese population. We found that the A allele of rs10464867 (G>A) was significantly associated with a decreased risk of gastric cancer (odds ratio [OR] = 0.81, 95% confidence interval [95% CI] = 0.71–0.94; P = 4.71×10−3). Furthermore, the association between A allele of rs10464867 and decreased risk of gastric cancer was more significantly in elder individuals (per-allele OR = 0.72[0.59–0.88], P = 1.07×10−3), and male individuals (per-allele OR = 0.73[0.62–0.87], P = 3.68×10−4). We further conducted a haplotype analysis and identified that the NBN Ars10464867Grs14448Grs1063053 haplotype conferred stronger protective effect on gastric cancer (OR = 0.76[0.65–0.89], P = 6.39×10−4). In summary, these findings indicate that genetic variants at NBN gene may contribute to gastric cancer susceptibility and may further advance our understanding of NBN gene in cancer development. [ABSTRACT FROM AUTHOR]

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]

Abstract Chromosome 4q12 and 17q12 have been identified as two regions associated with susceptibility to cervical cancer in a genome-wide association study. To identify potential causal variants within these two regions, we conducted a case-control study including 1486 patients with cervical cancer and 1536 age-matched (±5 years) healthy controls. Based on RegulomeDB database, 12 potentially functional variants were selected and then genotyped by using Sequenom MassARRAY. Univariate and multivariate logistic regression models were used to evaluate the associations. We found that the G allele of rs8076131 and the A allele of rs12150079 in 17q12 region were significantly associated with increased risk of cervical cancer (adjusted OR = 1.15, 95% CI = 1.02–1.30, P = 0.02 for rs8076131; adjusted OR = 1.19, 95% CI = 1.03–1.36, P = 0.02 for rs12150079). Individuals with 3–4 risk alleles of these two variants had 24% higher odds of cervical cancer than those without the risk alleles (OR = 1.24, 95% CI = 1.07–1.44, P < 0.01). The stratified analysis showed that the associations of rs8076131 and rs12150079 with cervical cancer risk were statistically significant in subgroups of older menarche age (>16 years), more parities (≥2), nonsmokers, and having no family cancer history, but the test results for subgroup heterogeneity were not significant. The current study provides the evidence that rs8076131 and rs12150079 in 17q12 region may contribute to cervical cancer susceptibility in the Han Chinese population. Highlights • A case-control study was conducted to identify potential causal variants within GWAS-identified regions for cervical cancer. • Based on RegulomeDB, twelve putative variants were selected and genotyped. • Rs8076131 and rs12150079 within 17q12 may contribute to cervical cancer susceptibility. [ABSTRACT FROM AUTHOR]