Zhenzhen Qin

Association analyses identify multiple new lung cancer susceptibility loci and their interactions with smoking in the Chinese population

To find additional susceptibility loci for lung cancer, we tested promising associations from our previous genome-wide association study (GWAS) of lung cancer in the Chinese population in an extended validation sample size of 7,436 individuals with lung cancer (cases) and 7,483 controls. We found genome-wide significant (P < 5.0 × 10−8) evidence for three additional lung cancer susceptibility loci at 10p14 (rs1663689, close to GATA3, P = 2.84 × 10−10), 5q32 (rs2895680 in PPP2R2B-STK32A-DPYSL3, P = 6.60 × 10−9) and 20q13.2 (rs4809957 in CYP24A1, P = 1.20 × 10−8). We also found consistent associations for rs247008 at 5q31.1 (IL3-CSF2-P4HA2, P = 7.68 × 10−8) and rs9439519 at 1p36.32 (AJAP1-NPHP4, P = 3.65 × 10−6). Four of these loci showed evidence for interactions with smoking dose (P = 1.72 × 10−10, P = 5.07 × 10−3, P = 6.77 × 10−3 and P = 4.49 × 10−2 for rs2895680, rs4809957, rs247008 and rs9439519, respectively). These results advance our understanding of lung cancer susceptibility and highlight potential pathways that integrate genetic variants and smoking in the development of lung cancer.

Genome-wide association study identifies a novel susceptibility locus at 12q23.1 for lung squamous cell carcinoma in han chinese

Adenocarcinoma (AC) and squamous cell carcinoma (SqCC) are two major histological subtypes of lung cancer. Genome-wide association studies (GWAS) have made considerable advances in the understanding of lung cancer susceptibility. Obvious heterogeneity has been observed between different histological subtypes of lung cancer, but genetic determinants in specific to lung SqCC have not been systematically investigated. Here, we performed the GWAS analysis specifically for lung SqCC in 833 SqCC cases and 3,094 controls followed by a two-stage replication in additional 2,223 lung SqCC cases and 6,409 controls from Chinese populations. We found that rs12296850 in SLC17A8-NR1H4 gene region at12q23.1 was significantly associated with risk of lung SqCC at genome-wide significance level [additive model: odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.72–0.84, P = 1.19×10−10]. Subjects carrying AG or GG genotype had a 26% (OR = 0.74, 95% CI = 0.67–0.81) or 32% (OR = 0.68, 95% CI = 0.56–0.83) decreased risk of lung SqCC, respectively, as compared with AA genotype. However, we did not observe significant association between rs12296850 and risk of lung AC in a total of 4,368 cases with lung AC and 9,486 controls (OR = 0.96, 95% CI = 0.90–1.02, P = 0.173). These results indicate that genetic variations on chromosome 12q23.1 may specifically contribute to lung SqCC susceptibility in Chinese population.

Evaluation of genetic variants in microRNA biosynthesis genes and risk of breast cancer in Chinese women.

MicroRNAs (miRNA) are a class of small, noncoding RNA molecules involved in a diversity of cellular functions. Single nucleotide polymorphisms (SNPs) in miRNA biosynthesis genes may affect the biogenesis of miRNAs and consequently affect the miRNAs regulation. In this study, we systematically selected 24 functional SNPs located in eight key biosynthesis genes of miRNA (DROSHA, DGCR8, RAN, DICER, AGO2, GEMIN3, GEMIN4 and HIWI) and investigated the association between these SNPs and the risk of breast cancer in a Chinese population. All 24 SNPs were firstly genotyped in stage 1 (878 cases and 900 controls) and three promising SNPs (DROSHA rs2291109, RAN rs7301722 and DGCR8 rs417309) were selected for further validation in stage 2 (914 cases and 967 controls). We found that only one SNP (rs417309) located in the 3′‐UTR of DGCR8 was consistently associated with an increased breast cancer risk in two stages with a combined odds ratio (OR) of 1.50 [95% confidence interval (CI) = 1.16–1.93]. Based on the bioinformatics prediction, rs417309 is located at the binding sites of miR‐106b and miR‐579 in the 3′‐UTR of DGCR8. To evaluate whether rs417309 variant affects the binding capacity of miRNAs, we cotransfected luciferase reporter plasmids of DGCR8 3′‐UTR and miR‐106b/miR‐579 in three cell lines. Luciferase activity assay showed a higher expression level with rs417309 A allele compared with G allele in MCF‐7 cell lines (p = 3.31 × 10–7, 9.29 × 10–7 for miR‐106b and miR‐579, respectively). Our findings suggested that DGCR8 rs417309 G > A might affect breast cancer risk through the interruption of miRNA binding.

Potentially functional polymorphisms in ATG10 are associated with risk of breast cancer in a Chinese population.

Autophagy is a cellular process directed at recycling of cellular proteins and removal of intracellular microorganisms, which is important for balancing sources of energy at critical times in development and in response to nutrient stress. It has been reported to be a critical process in cancer initiation and progression. We hypothesized that genetic variants in critical genes of autophagy may be involve in the development of breast cancer. Thus, we systematically screened 14 potentially functional polymorphisms in six autophagy-related genes (ATG3, ATG5, ATG7, ATG10, and ATG12 and LC3) that are core components in autophagosome formation. We conducted a case-control study including 1064 breast cancer cases and 1073 cancer-free controls to evaluate the associations of these variants with breast cancer risk. We found that rs1864182 and rs10514231 in ATG10 were significantly associated with a decreased risk of breast cancer [odds ratios (OR)=0.77, 95% confidence interval (CI): 0.61-0.96, P=0.023; and OR=0.75, 95% CI: 0.59-0.93, P=0.010, respectively]. Similar protective effects for both loci were observed between subgroups stratified by ages at diagnosis/recruitment, menarche and first live birth, and status of menopause, estrogen receptor (ER) and progesterone receptor (PR). These results suggest that genetic variants in ATG10 may implicate with breast cancer susceptibility in Chinese population. Further large and functional studies are needed to confirm our findings.

Genetic Variants at 1p11.2 and Breast Cancer Risk: A Two-Stage Study in Chinese Women

Background Genome-wide association studies (GWAS) have identified several breast cancer susceptibility loci, and one genetic variant, rs11249433, at 1p11.2 was reported to be associated with breast cancer in European populations. To explore the genetic variants in this region associated with breast cancer in Chinese women, we conducted a two-stage fine-mapping study with a total of 1792 breast cancer cases and 1867 controls. Methodology/Principal Findings Seven single nucleotide polymorphisms (SNPs) including rs11249433 in a 277 kb region at 1p11.2 were selected and genotyping was performed by using TaqMan® OpenArray™ Genotyping System for stage 1 samples (878 cases and 900 controls). In stage 2 (914 cases and 967 controls), three SNPs (rs2580520, rs4844616 and rs11249433) were further selected and genotyped for validation. The results showed that one SNP (rs2580520) located at a predicted enhancer region of SRGAP2 was consistently associated with a significantly increased risk of breast cancer in a recessive genetic model [Odds Ratio (OR)  =  1.66, 95% confidence interval (CI)  =  1.16–2.36 for stage 2 samples; OR  =  1.51, 95% CI  =  1.16–1.97 for combined samples, respectively]. However, no significant association was observed between rs11249433 and breast cancer risk in this Chinese population (dominant genetic model in combined samples: OR  =  1.20, 95% CI  =  0.92–1.57). Conclusions/Significance Genotypes of rs2580520 at 1p11.2 suggest that Chinese women may have different breast cancer susceptibility loci, which may contribute to the development of breast cancer in this population.

Genetic Variations in the Flanking Regions of miR-101-2 Are Associated with Increased Risk of Breast Cancer

Genetic variants in human microRNA (miRNA) genes may alter mature miRNA processing and/or target selection, and likely contribute to cancer susceptibility and disease progression. Previous studies have suggested that miR-101 may play important roles in the development of cancer by regulating key tumor-associated genes. However, the role of single nucleotide polymorphisms (SNPs) of miR-101 in breast cancer susceptibility remains unclear. In this study, we genotyped 11 SNPs of the miR-101 genes (including miR-101-1 and miR-101-2) in a case-control study of 1064 breast cancer cases and 1073 cancer-free controls. The results revealed that rs462480 and rs1053872 in the flank regions of pre-miR-101-2 were significantly associated with increased risk of breast cancer (rs462480 AC/CC vs AA: adjusted OR = 1.182, 95% CI: 1.030–1.357, P = 0.017; rs1053872 CG/GG vs CC: adjusted OR = 1.179, 95% CI: 1.040–1.337, P = 0.010). However, the remaining 9 SNPs were not significantly associated with risk of breast cancer. Additionally, combined analysis of the two high-risk SNPs revealed that subjects carrying the variant genotypes of rs462480 and rs1053872 had increased risk of breast cancer in a dose-response manner (P trend = 0.002). Compared with individuals with “0–1” risk allele, those carrying “2–4” risk alleles had 1.29-fold risk of breast cancer. In conclusion, these findings suggested that the SNPs rs462480 and rs1053872 residing in miR-101-2 gene may have a solid impact on genetic susceptibility to breast cancer, which may improve our understanding of the potential contribution of miRNA SNPs to cancer pathogenesis.

Genetic variants at 5p12 and risk of breast cancer in Han Chinese

A genome-wide association study, conducted among women of European ancestry, has identified two single-nucleotide polymorphisms (SNPs) rs4415084 (T>C) and rs10941679 (A>G) at chromosome 5p12 were associated with risk of breast cancer, suggesting that genetic variants in this region may have a role in the development of breast cancer. To investigate the associations between SNPs at 5p12 and risk of breast cancer in the Chinese population, we conducted a fine-mapping in 5p12 using a haplotype-tagging SNP approach and genotyped these SNPs with a case–control study consisting of 878 cases and 900 controls. We found that the two risk SNPs reported in the European population were neither associated with breast cancer risk in our Chinese population, nor did the fine-mapping SNPs after controlling multiple comparison.

Genetic Variants at 12p11 and 12q24 Are Associated with Breast Cancer Risk in a Chinese Population

Background A recent genome-wide association study (GWAS) has identified three new breast cancer susceptibility loci at 12p11, 12q24 and 21q21 in populations of European descent. However, because of the genetic heterogeneity, it is largely unknown for the role of these loci in the breast cancer susceptibility in the populations of non-European descent. Methodology/Principal Findings Here, we genotyped three variants (rs10771399 at 12p11, rs1292011 at 12q24 and rs2823093 at 21q21) in an independent case–control study with a total of 1792 breast cancer cases and 1867 cancer-free controls in a Chinese population. We found that rs10771399 and rs1292011 were significantly associated with risk of breast cancer with per-allele odds ratios (ORs) of 0.85 (95% confidence interval (CI): 0.76–0.96; P = 0.010) and 0.84 (95% CI: 0.76–0.95; P = 4.50×10−3), respectively, which was consistent with those reported in populations of European descent. Similar effects were observed between ER/PR positive and negative breast cancer for both loci. However, we did not found significant association between rs2823093 and breast cancer risk (OR = 0.97, 95%CI = 0.76–1.24; P  = 0.795). Conclusions/Significance Our results indicate that genetic variants at 12p11 and 12q24 may also play an important role in breast cancer development in Chinese women.

Genetic Variants at 14q24.1 and Breast Cancer Susceptibility: a Fine-Mapping Study in Chinese Women

A single nucleotide polymorphism (SNP) rs999737 at 14q24.1 was identified as a susceptibility marker of breast cancer in a genome-wide association study of the European population, which was also confirmed by some of the following studies in populations of European descent. However, rs999737 is very rare or nonpolymorphic in non-Europeans including Chinese, and the role of other genetic variants at 14q24.1 has not been evaluated in populations of non-European descent. In this study, we first selected 21 common tagging SNPs (minor allele frequency [MAF] >0.05 in the Chinese population) by searching the Hapmap database, covering a linage disequilibrium region of more than 70 Kb at 14q24.1, and then conducted a two-stage study (stage I: 878 cases and 900 controls; stage II: 914 cases and 967 controls) to investigate the associations between these tagging SNPs and risk of breast cancer in a Chinese population. In stage I, two SNPs (rs2842346 and rs17828907) were identified to be significantly associated with breast cancer risk (p=0.030 and 0.027 for genotype distributions, respectively). However, no significant associations were found between these two SNPs and breast cancer risk in either stage II or the combined dataset. These findings suggest that common variants at 14q24.1 might not be associated with the risk of breast cancer in the Chinese population, which will need the replication in additional larger studies.

Potentially functional polymorphisms in aminoacyl‐tRNA synthetases genes are associated with breast cancer risk in a Chinese population

Aminoacyl‐tRNA synthetases (ARSs) are responsible for cellular protein synthesis and cell viability involving in various process of tumorigenesis. We hypothesized that genetic variants in core ARSs genes may play an important role in the development of breast cancer. Thus, we conducted a case–control study including 1064 breast cancer cases and 1073 cancer‐free controls to evaluate the associations of 28 potentially functional polymorphisms in 12 core ARSs genes (AARS, CARS, EPRS, HARS, KARS, LARS, MARS, QARS, RARS, VARS, WARS, and YARS) with breast cancer risk. We found significant associations with the risk of breast cancer for rs34087264 in AARS [odds ratio (OR) = 1.15, 95% confidence interval (CI) = 1.01–1.31], rs801186 in HARS (OR = 1.29, 95% CI = 1.08–1.54), rs193466 in RARS (OR = 1.17, 95% CI = 1.02–1.35), and rs2273802 in WARS (OR = 1.14, 95% CI = 1.01–1.30). We further observed significant interactions between rs2273802 and age at the first live birth (P = 0.041), and between rs801186 and age on breast cancer risk (P = 0.018). Combined analysis of these four SNPs showed a significant allele‐dosage association between the number of risk alleles and breast cancer risk (Ptrend = 2.00 × 10−4). Compared with individuals with “0–2” risk alleles, those carrying “3,” “4,” or “5 or more” risk alleles had a 1.32 (95% CI = 1.07–1.64), 1.48 (95% CI = 1.45–1.91), or 1.60 folds (95% CI = 1.06–2.41) risk of breast cancer, respectively. These findings indicate that genetic variants in core ARSs genes may modify the individual susceptibility to breast cancer in Chinese population.