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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]

Background: Increasing evidence suggests that conventional adenomas (CAs) and serrated polyps (SPs) represent two distinct groups of precursor lesions for colorectal cancer (CRC). The influence of common genetic variants on risk of CAs and SPs remain largely unknown.Methods: Among 27 426 participants within three prospective cohort studies, we created a weighted genetic risk score (GRS) based on 40 CRC-related single nucleotide polymorphisms (SNPs) identified in previous genome-wide association studies; and we examined the association of GRS (per one standard deviation increment) with risk of CAs, SPs and synchronous CAs and SPs, by multivariable logistic regression. We also analysed individual variants in the secondary analysis.Results: During 18-20 years of follow-up, we documented 2952 CAs, 1585 SPs and 794 synchronous CAs and SPs. Higher GRS was associated with increased risk of CAs [odds ratio (OR) = 1.17, 95% confidence interval (CI): 1.12-1.21] and SPs (OR = 1.09, 95% CI: 1.03-1.14), with a stronger association for CAs than SPs (Pheterogeneity=0.01). An even stronger association was found for patients with synchronous CAs and SPs (OR = 1.32), advanced CAs (OR = 1.22) and multiple CAs (OR = 1.25). Different sets of variants were associated with CAs and SPs, with a Spearman correlation coefficient of 0.02 between the ORs associating the 40 SNPs with the two lesions. After correcting for multiple testing, three variants were associated with CAs (rs3802842, rs6983267 and rs7136702) and two with SPs (rs16892766 and rs4779584).Conclusions: Common genetic variants play a potential role in the conventional and serrated pathways of CRC. Different sets of variants are identified for the two pathways, further supporting the aetiological heterogeneity of CRC. [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]

STUDY QUESTION Do genetic variants in known canonical pathways that have been widely suggested to affect spermatogenesis confer susceptibility to non-obstructive azoospermia (NOA)? SUMMARY ANSWER Rs1406714 in CHD2, rs2126986 in GNAO1 and rs7226979 in BCL2 were associated with NOA in Han Chinese men at a significant level after multiple testing corrections. WHAT IS KNOWN ALREADY Previous genome-wide association studies (GWASs) have identified three loci for NOA, whereas less attention has been given to those markers that did not exceed the genome-wide significance threshold. STUDY DESIGN, SIZE, DURATION We conducted a two-stage association study containing 1653 NOA cases and 2329 controls to investigate the susceptibility markers for NOA. PARTICIPANTS/MATERIALS, SETTING, METHODS Imputation and pathway-based approaches can be applied to identify additional causal makers with small effects on NOA. We performed a candidate pathway-based association study using imputed-genotyping data for 24 238 single nucleotide polymorphisms estimated from NOA GWAS. Remarkably, 40 markers were associated with NOA in both imputation analysis and NOA GWAS (Stage 1) after linkage disequilibrium analysis and selected for validation (Stage 2) in another population. MAIN RESULTS AND THE ROLE OF CHANCE Based on the literature, genes from 11 biological pathways known or hypothesized to be important in spermatogenesis were selected. Combined analysis using directly genotyped data for Stages 1 and 2 revealed that rs1406714 in CHD2 was associated with decreased risk of NOA [odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.68–0.89, Pmeta = 1.7E−04], whereas rs2126986 in GNAO1 and rs7226979 in BCL2 were both risk makers for NOA (rs2126986: OR = 1.28, 95% CI = 1.15–1.41, Pmeta = 2.3E−06; rs7226979: OR = 1.21, 95% CI = 1.11–1.33, Pmeta = 4.5E−05). LIMITATIONS, REASONS FOR CAUTION Our analysis of genes in the pathways studied was not exhaustive. WIDER IMPLICATIONS OF THE FINDINGS Our study opens new avenues for the identification of other novel causal markers that are related to NOA. It will also provide a new paradigm for understanding the etiology of male infertility and contribute to the development of targeted therapies. STUDY FUNDING/COMPETING INTEREST(S) This study was supported in part by National Basic Research Program of China (973 Program, 2011CB944304); National Science Fund for Outstanding Young Scholars (81322039); National Natural Science Foundation (31371524); Distinguished Young Scholars of Jiangsu Province (BK20130041); The Program for Postgraduates Research Innovation in University of Jiangsu Province (CXZZ12-0600). Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). There were no competing interests. [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]

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]

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]