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Gene–smoking interactions play important roles in the development of non-small cell lung cancer (NSCLC). To identify single-nucleotide polymorphisms (SNPs) that modify the association of smoking behavior with NSCLC risk, we conducted a genome-wide gene–smoking interaction study in Chinese populations. The genome-wide interaction analysis between SNPs and smoking status (ever- versus never-smokers) was carried out using genome-wide association studies of NSCLC, which included 13 327 cases and 13 328 controls. Stratified analysis by histological subtypes was also conducted. We used a genome-wide significance threshold of 5 × 10−8 for identifying significant gene–smoking interactions and 1 × 10–6 for identifying suggestive results. Functional annotation was performed to identify potential functional SNPs and target genes. We identified three novel loci with significant or suggestive gene–smoking interaction. For NSCLC, the interaction between rs2746087 (20q11.23) and smoking status reached genome-wide significance threshold [odds ratio (OR) = 0.63, 95% confidence interval (CI): 0.54–0.74, P = 3.31 × 10–8], and the interaction between rs11912498 (22q12.1) and smoking status reached suggestive significance threshold (OR = 0.72, 95% CI: 0.63–0.82, P = 8.10 × 10–7). Stratified analysis by histological subtypes identified suggestive interactions between rs459724 (5q11.2) and smoking status (OR = 0.61, 95% CI: 0.51–0.73, P = 7.55 × 10–8) in the risk of lung squamous cell carcinoma. Functional annotation indicated that both classic and novel biological processes, including nicotine addiction and airway clearance, may modulate the susceptibility to NSCLC. These novel loci provide new insights into the biological mechanisms underlying NSCLC risk. Independent replication in large-scale studies is needed and experimental studies are warranted to functionally validate these associations. [ABSTRACT FROM AUTHOR]

Even though genome-wide association studies (GWASs) have identified dozens of single nucleotide polymorphisms (SNPs) affecting the susceptibility to lung cancer, only a tiny fraction of heritability can be explained. Regulating the expression of surrounding genes is one of the important mechanisms for SNPs to exert their effect. So it is necessary to systematically evaluate the associations between expression quantitative trait loci (eQTL) and lung cancer risk. In this study, a two-stage case–control design was used to evaluate the associations of eQTL SNPs (eSNPs) defined by GTEx in normal lung tissues with the risk of lung cancer based on two GWAS datasets, including 7127 cases and 6818 controls. Promising variants were replicated in an independent population with 1026 lung cancer cases and 1006 controls. Functional annotations of the identified eSNPs and related genes were performed based on multiple public databases. Finally, we identified two potential eSNPs associated with the risk of lung cancer in 3q28 [rs505974, OR = 0.90 (0.86 – 0.94), P = 6.51 × 10−6] and 21q22.3 [rs79589812, OR = 1.38 (1.21 – 1.58), P = 2.46 × 10−6]. Subgroup analysis showed rs505974 might interact with smoking behaviour. Gene-set enrichment and pathway analysis revealed that rs505974 may affect the susceptibility to lung cancer via regulating the expression of CLDN16, which may be involved in the chemical carcinogenesis pathway, whereas rs79589812 may regulate the expression of SPATC1L, which may be involved in the base excision repair pathway. These results provide an overview of the associations between eSNPs and lung cancer in Asian populations. [ABSTRACT FROM AUTHOR]

Lung cancer is the leading cause of cancer-related deaths worldwide. By now, genome-wide association studies (GWAS) have identified numerous loci associated with the risk of developing lung cancer. However, these loci account for only a small fraction of the familial lung cancer risk. We hypothesized that epistasis may contribute to the missing heritability. To test this hypothesis, we systematically evaluated the association of epistasis of genetic variants with risk of lung cancer in Han Chinese cohorts. We conducted a pairwise genetic interaction analysis of 591370 variants, using BOolean Operation-based Screening and Testing (BOOST), in an ongoing GWAS of lung cancer that includes 2331 cases and 3077 controls. Pairs of epistatic loci with PBOOST ≤ 1.00×10−6 were further evaluated by a logistic regression model (LRM) with covariate adjustment. Four promising epistatic pairs identified at the screening stage (PLRM ≤ 2.86×10−13) were validated in two replication cohorts: the first from Beijing (1534 cases and 1489 controls) and the second from Shenyang and Guangzhou (2512 cases and 2449 controls). Using this combined analysis, we identified an interaction between rs2562796 and rs16832404 at 2p32.2 that was significantly associated with the risk of developing lung cancer (PLRM = 1.03×10−13 in total 13 392 subjects). This study is the first investigation of epistasis for lung cancer on a genome-wide scale in Han Chinese. It addresses part of the missing heritability in lung cancer risk and provides novel insight into the multifactorial etiology of lung cancer. [ABSTRACT FROM PUBLISHER]

Genetic variants at 5p15 have been associated with multiple cancers risk, suggesting pleiotropic effect on cancer. We hypothesized that genetic variants at 5p15 are important in the development of gastric cancer. To test this hypothesis, we evaluated the associations of genetic variants at 5p15 with gastric cancer based on our existing genome-wide association study (GWAS) data set of gastric cancer (1006 cases and 2273 controls), and replicated two promising loci in an independent case–control study with 1681 gastric cancer cases and 1705 controls in a Chinese population. We found that rs10052016 was consistently associated with gastric cancer risk in GWAS discovery stage (odds ratio [OR] = 0.69, 95% confidence interval [95% CI] = 0.55–0.87) and replication stage (OR = 0.80, 95% CI = 0.68–0.94). After combining these two studies, we found that the G allele of rs10052016 (at 132 kb upstream of TERT) was significantly associated with a decreased risk of gastric cancer (OR = 0.76, 95% CI = 0.67–0.87, P = 5.35 × 10–5). Moreover, the protective allele of rs10052016-G was also significantly associated with late onset of gastric cancer (P = 0.013). In summary, these findings indicate that genetic variants at 5p15 may contribute to gastric cancer susceptibility and may further advance our understanding of 5p15 locus in cancer development. [ABSTRACT FROM PUBLISHER]

Cell cycle regulation, apoptosis, oxidative stress and inflammation response play critical roles in the development of smoking-induced lung cancer. However, it is still not well known whether their genetic variants are associated with lung cancer susceptibility. In this study, we performed imputation-based association analyses to investigate the influence of common genetic variants in these pathways and their interactions with smoking on lung cancer susceptibility. We first selected 24 042 unvalidated genetic variants in 798 genes from the imputed dataset of the previous lung cancer genome-wide association study in 2331 cases and 3077 controls, and then conducted additional two-stage validations in 4133 cases and 4522 controls. We found a genome-wide significant (P < 5.0 × 10–8) association for rs2282987 in CDK6 at 7q21.2 [odds ratio (OR) = 1.18, combined Padd = 2.27 × 10–9] and a consistent association for rs2706748 in SH3RF1 at 4q32.3 (OR = 1.17, combined Padd = 5.10 × 10–6). Interaction analyses showed that rs2282987 and rs2706748 interacted with both smoking status (Pinteraction were 1.04 × 10–2 and 3.03 × 10–2, respectively) and smoking history (Pinteraction were 1.21 × 10–2 and 5.21 × 10–2, respectively) to contribute to lung cancer susceptibility in subjects aged 51–60 years. These results further underscore the contribution of genetic variants involved in pathways of cell cycle regulation and apoptosis to lung cancer susceptibility, and highlight gene–environment interactions in lung cancer etiology, especially in subjects aged 51–60 years. [ABSTRACT FROM AUTHOR]

Genome-wide association studies have identified multiple genetic variants associated with risk of esophageal squamous-cell carcinoma (ESCC) in Chinese populations. We examined whether these genetic factors, along with non-genetic factors, can contribute to ESCC risk prediction. We examined 25 single nucleotide polymorphisms (SNPs) and 4 non-genetic factors (sex, age, smoking and drinking) associated with ESCC risk in 9805 cases and 10 493 controls from Chinese populations. Weighted genetic risk score (wGRS) was calculated and logistic regression was used to analyze the association between wGRS and ESCC risk. We calculated the area under the curve (AUC) using receiver operating characteristic curve analysis to measure the discrimination after adding genetic variants to the model with only non-genetic factors. Net reclassification improvement (NRI) was used to quantify the degree of correct reclassification using different models. wGRS of the combined 17 SNPs with significant marginal effect (G SNPs) increased ~4-fold ESCC risk (P = 1.49 × 10−164) and the associations were significant in both drinkers and non-drinkers. However, wGRS of the eight SNPs with significant effect in gene × drinking interaction (GE SNPs) increased ~4-fold ESCC risk only in drinkers (Pinteraction = 8.76 × 10–41). The AUC for a risk model with 4 non-genetic factors, 17 G SNPs, 8 GE SNPs and their interactions with drinking was 70.1%, with the significant improvement of 7.0% compared with the model with only non-genetic factors (P < 0.0001). Our results indicate that incorporating genetic variants, lifestyle factors and their interactions in ESCC risk models can be useful for identifying patients with ESCC. [ABSTRACT FROM AUTHOR]

Germline mutations in genes that cause hereditary syndromes are highly predisposed to familial pancreatic cancer. However, genetic susceptibility to sporadic pancreatic cancer is largely uncovered. We conducted a two-stage association study on pancreatic cancer that included 981 cases and 1991 controls in the first stage followed by a second stage (2603 cases and 2877 controls). Using an approach based on candidate genes whose roles in pancreatic cancer have been well known, we identified two new susceptibility loci. rs11571836 located in the BRCA2 3′-untranslated region was significantly associated with lower expression of BRCA2 transcript and increased pancreatic cancer risk [odds ratio = 1.30, 95% confidence interval = 1.14–1.47, P = 7.64 × 10–5] in a recessive manner. rs12939944 located in the MAP2K4 intron was associated with decreased risk (odds ratio = 0.82, 95% confidence interval = 0.74–0.91, P = 0.0001) in a dominant manner. Our results demonstrate for the first time that common variants in BRCA2 and MAP2K4 are susceptibility to sporadic pancreatic cancer. [ABSTRACT FROM AUTHOR]

Genetic variants may influence miRNA–mRNA interaction through modulate binding affinity, creating or destroying miRNA-binding sites. Twenty-four single nucleotide polymorphisms (SNPs) that were predicted to affect the binding affinity of breast cancer-related miRNAs to 3′-untranslated regions (UTR) of known genes were genotyped in 878 breast cancer cases and 900 controls in Chinese women. Three promising SNPs (rs10494836, rs10857748 and rs7963551) were further validated in additional 914 breast cancer cases and 967 controls. The variant allele (C) of rs7963551 at 3′-UTR of RAD52 showed a consistently reduced breast cancer risk in two stages with a combined odds ratio (OR) of 0.84 [95% confidence interval (CI) = 0.75–0.95], which was more prominent among women with early age at first live birth (OR = 0.71, 95% CI = 0.58–0.87). A significant interaction was observed between rs7963551 and age at first live birth on breast cancer risk (P for interaction = 0.04). Luciferase activity assay showed a higher expression level for rs7963551 C allele as compared with A allele (P = 5.19×10–3 for MCF-7 cell lines), which might be due to a reduced inhibition from a weakened binding capacity of miRNA to 3′-UTR of RAD52 harboring C allele. These findings indicate that rs7963551 located at hsa-let-7 binding site may alter expression of RAD52 through modulating miRNA–mRNA interaction and contribute to the development of breast cancer in Chinese women. [ABSTRACT FROM AUTHOR]

It has been demonstrated that there are abundant stable microRNAs (miRNAs) in plasma/serum, which can be detected and are potentially disease specific. However, the lack of suitable endogenous controls for serum miRNA detection is the restriction for the widely usage of this kind of biomarkers and for the between-laboratory comparison of the findings. We first systematically screened for endogenous control miRNAs (ECMs) by testing 10 pooling samples (using both Solexa sequencing and TaqMan low density array) and 50 individual samples (using quantitative reverse transcription–PCR) of different cancer traits and healthy controls. Then we assessed serum miRNAs used as potential biomarkers for breast cancer risk prediction based on a two-stage case–control analysis, including 48 breast cancer patients and 48 controls for the discovery stage and 76 breast cancer patients and 76 controls for validation. We identified two candidate ECMs (miRNA-191 and miRNA-484). Normalized by the two ECMs, we found four miRNAs (miR-16, miR-25, miR-222 and miR-324-3p) that were consistently differentially expressed between breast cancer cases and controls. The area under the receiver operating characteristic curve is 0.954 for the four-miRNA signature in the discovery stage (sensitivity = 0.917 and specificity = 0.896) and 0.928 in the validation stage (sensitivity = 0.921 and specificity = 0.934). In conclusion, the four-miRNA signature from serum may serve as a non-invasive prediction biomarker for breast cancer. Furthermore, we proposed the combination of miRNA-484 and miRNA-191 as endogenous control for serum miRNA detection, at least for most common cancers. [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]

Tobacco smoke is the major environmental risk factor underlying lung carcinogenesis. However, approximately one-tenth smokers develop lung cancer in their lifetime indicating there is significant individual variation in susceptibility to lung cancer. And, the reasons for this are largely unknown. In particular, the genetic variants discovered in genome-wide association studies (GWAS) account for only a small fraction of the phenotypic variations for lung cancer, and gene-environment interactions are thought to explain the missing fraction of disease heritability. The ability to identify smokers at high risk of developing cancer has substantial preventive implications. Thus, we undertook a gene-smoking interaction analysis in a GWAS of lung cancer in Han Chinese population using a two-phase designed case-control study. In the discovery phase, we evaluated all pair-wise (591,370) gene-smoking interactions in 5,408 subjects (2,331 cases and 3,077 controls) using a logistic regression model with covariate adjustment. In the replication phase, promising interactions were validated in an independent population of 3,023 subjects (1,534 cases and 1,489 controls). We identified interactions between two single nucleotide polymorphisms (SNPs) and smoking. The interaction p values are 6.73 × 10-6 and 3.84 × 10-6 for rs1316298 and rs4589502, respectively, in the combined dataset from the two phases. An antagonistic interaction (rs1316298-smoking) and a synergetic interaction (rs4589502-smoking) were observed. The two interactions identified in our study may help explain some of the missing heritability in lung cancer susceptibility and present strong evidence for further study of these gene-smoking interactions, which are benefit to intensive screening and smoking cessation interventions. [ABSTRACT FROM AUTHOR]