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Background Most susceptible loci of hepatocellular carcinoma (HCC) identified by genome-wide association studies (GWAS) are located in non-coding regions, and the mechanism of action remains unclear. The objective of this study was to explore the association of single nucleotide polymorphisms (SNPs) on long non-coding RNAs (lncRNAs) that affect competing endogenous RNAs (ceRNA) regulation mechanism with the risk and prognosis of HCC. Methods Based on a set of bioinformatics strategies, eight lncRNA genes that affect HCC through the mechanism of lncRNA-mediated ceRNA were systematically screened, and 15 SNPs that affect microRNA (miRNA) binding in these lncRNA genes were annotated. Genotyping was performed in 800 HCC cases and 801 healthy controls to examine associations of these SNPs with HCC in a northeastern Chinese Han population. Results The GG, GC and GG + GC genotypes of HOTAIR rs7958904 were associated with a 0.65, 0.59 and 0.63-fold decreased HCC risk, respectively. In addition, HCC patients with PVT1 rs3931282 AA + GA genotypes were less prone to develop late-stage cancers in a stratified analysis of clinical characteristics. When stratified by clinical biochemical indexes, rs1134492 and rs10589312 in PVT1 and rs84557 in EGFR-AS1 showed significant associations with aspartate aminotransferase (AST), alanine aminotransferase (ALT) or AST/ALT ratio in HCC patients. Furthermore, we constructed potential ceRNA regulatory axes that might be affected by five positive SNPs to explain the causes of these genetic associations. Conclusions HOTAIR rs7958904, PVT1 rs3931282, rs1134492 and rs10589312, and EGFR-AS1 rs84557 might be predictors for HCC risk or prognosis. Our results provide new insights into how SNPs on lncRNA-mediated ceRNAs confer interindividual differences to occurrence and progression of HCC.

The interface adhesive properties and mechanical properties of shape memory alloy composites were experimentally investigated. The two diameters of shape memory alloy (SMA) wire were surface modified by sandpaper, acid corrosion and alkali corrosion. Pull-out tests of single fiber and tensile tests of composite laminates were carried out. The results show that SMA after acid corrosion is the most effective to improve interface adhesive properties. With the increase of SMA diameter, the contact area between the matrix and SMA increases, so the degree of interfacial bonding is more obvious. The mechanical properties of SMA-modified composite laminates polished by sandpaper have been fully improved. SMA plays a full role in tensile resistance as long as the interface adhesive strength is large enough. Scanning electron microscopy shows that the surface roughness of the SMA wire treated in H2SO4 is more obvious than the other two.

Background DAL-1 gene was reported to inhibit proliferation, migration, invasion, and epithelial to mesenchymal transition (EMT) of gastric cancer (GC) cells in our previous study. The association between the genomic variants in DAL-1 gene with risk of GC is still unclear. Methods In this study, 505 GC cases and 544 healthy controls (HCs) were collected to evaluate the association between six single nucleotide polymorphisms (SNPs) (rs7240736, rs73937194, rs3817466, rs8082898, rs73381527, rs9953490) of DAL-1 gene and GC risk in the Han population in Northeast China. Results The TA + AA genotypes of rs9953490 were significantly associated with an increased risk in N3 compared with N0 subgroup (adjusted OR = 4.56, 95% CI = 1.49–13.98, P = 0.008), and also showed evident association with an increased risk in TNM stage III compared with stage I-II (adjusted OR = 2.33, 95% CI = 1.16–4.67, P = 0.017). Conclusion The rs9953490 of DAL-1 gene may play an important role in the occurrence and development of GC in the Han population in Northeast China.

The objective of the study is to assess the association between rs1801278 and rs2943641 of insulin receptor substrate 1 gene (IRS1) and the susceptibility to type 2 diabetes. A literature search strategy was conducted to identify all references lists of relevant studies. The fixed or random effect model was used to calculate the pooled ORs on the basis of heterogeneity. Further analyses were performed to explore the sources of heterogeneity by sensitivity analysis, meta-regression analysis, and subgroup analysis. There was significant association between rs1801278 and type 2 diabetes risk in recessive model (AA vs. GA + GG, p = 0.043) and codominant model (AA vs. GG, p = 0.007). Subgroup analysis showed that the association between rs1801278 and type 2 diabetes risk was significant in dominant model (GA + AA vs. GG, p = 0.044), codominant model (GA vs. GG, p = 0.039), codominant model (AA vs. GG, p = 0.044), overdominant model (GG + AA vs. GA, p = 0.037) in Asian and codominant model (AA vs. GG, p = 0.039) in Caucasian of rs1801278. The association between rs2943641 and type 2 diabetes risk was significant in codominant model (CT vs. CC, p = 0.023) in Caucasian. This meta-analysis suggests that rs1801278 may play a role in type 2 diabetes risk, especially in Asian. It also indicates that rs2943641 may be associated with type 2 diabetes risk in Caucasian. Further larger studies should be performed to warrant confirmation.

Several molecular epidemiological studies were conducted in recent years to evaluate the association between NQO1 Pro187Ser polymorphism and breast cancer risk in diverse populations. However, the results remain conflicting rather than conclusive. This meta-analysis on 3177 cases with breast cancer and 4038 controls from seven published case-control studies showed that the 187Ser allele was not associated with a significantly increased risk of breast cancer (Ser versus Pro: P = 0.33, OR = 1.08, 95% CI = 0.92-1.28; Ser/Ser versus Pro/Pro: P = 0.58, OR = 1.16, 95% CI = 0.68-2.00; Ser/Ser versus Pro/Ser + Pro/Pro: P = 0.62, OR = 1.14, 95% CI = 0.68-1.90; Ser/Ser + Pro/Ser versus Pro/Pro: P = 0.30, OR = 1.07, 95% CI = 0.94-1.22). In the stratified analysis by ethnicity, we found that the Pro187Ser polymorphism was associated with increased breast cancer risk in Caucasians in the additive genetic model and dominant genetic model (P = 0.03, OR = 1.13, 95% CI = 1.01-1.26; P = 0.03, OR = 1.15, 95% CI = 1.01-1.30, respectively), whereas no significant in Asians (P = 0.44, OR = 0.94, 95% CI = 0.80-1.10) and postmenopausal women (P = 0.99, OR = 1.00, 95% CI = 0.84-1.19). The results suggest that NQO1 Pro187Ser polymorphism may contribute to breast cancer development in Caucasians.

It has been reported that single nucleotide polymorphisms (SNPs) in the promoter of the CCR5 gene are associated with the risk for HIV-1 infection and AIDS progression. Using resequencing, we performed a systematic survey of 78 HIV-1 seropositive individuals and 70 population-matched healthy control individuals from northern China to investigate SNPs of the CCR5 gene promoter and evaluated their effects on HIV-1 infection and the progression of AIDS. Linkage disequilibrium (LD) plots and haplotypes were generated using Haploview software. The association analyses were statistically compared using the Chi-square test with SPSS13.0 software for Windows. Seven SNPs (58755A>G, 58791C>T, 58934G>T, 59029A>G, 59353C>T, 59402A>G and 59653C>T) in the region of the CCR5 gene promoter were evaluated in this study. Among the seven SNPs, the minor allele frequencies of 58755G and 58791T were less than 2%. The differences in frequencies of the other five SNPs were not significant between case and control cohorts (P > 0.05). In the case cohort, the association between these SNPs and clinical features (CD4+ T-lymphocyte counts and clinical categories) was not significant (P > 0.05); however, there was a significant association between the haplotype GGTAC and susceptibility to HIV-1 infection (P < 0.05), which is not consistent with other reports studied in different populations. The results suggest that the haplotype GGTAC may have a role in the process of HIV-1 infection in the northern Chinese population.

It was reported that the functional polymorphism Ser326Cys in the human 8-oxoguanine DNA glycosylase gene was associated with breast cancer risk; however, the published studies have inconsistent conclusions. To elucidate the effect of hOGG1 Ser326Cys on the susceptibility to breast cancer, all available studies were collected in this meta-analysis. We extracted the data from 10 case-control studies that were published in the PubMed database from 2003 to 2008 using the search phrases "human 8-oxoguanine DNA glycosylase, hOGG1, OGG1, OGG, polymorphism, genetic variation, and breast cancer." This meta-analysis included 4,963 breast cancer cases and 4,776 control subjects. The results showed that individuals who carrying the hOGG1 326Cys allele in the additive model did not have significantly increased risk of breast cancer compared with those carrying the 326Ser allele (P = 0.47, OR = 1.02; 95% CI = 0.96-1.09); similarly, no significant association between the hOGG1 326Cys allele and breast cancer risk was found either in the recessive genetic model (P = 0.34, OR = 1.06; 95% CI = 0.94-1.18) for Cys/Cys versus Ser/Cys + Ser/Ser, or dominant genetic model (P = 0.78, OR = 1.01; 95% CI = 0.93-1.11) for Cys/Cys + Ser/Cys versus Ser/Ser. In the stratified analysis, the meta-analysis showed the association between hOGG1 326Cys allele in the additive model and breast cancer was significant in European subjects (P = 0.04, OR = 0.71; 95% CI = 0.51-0.98), and dominant genetic model (P = 0.004, OR = 0.44; 95% CI = 0.25-0.77). However, the association was not significant between this polymorphism and different menopausal status (premenopausal and postmenopausal) and the other ethnicities (Asians and Americans). The meta-analysis suggested that the hOGG1 326Cys allele plays a significant protective effect to breast cancer in European women.

It has been reported that the CCR5-Delta32, CCR2-64I and SDF1-3′A polymorphisms have protective effects against HIV-1 infection and can delay the progression of AIDS in European populations. The aim of this study was to investigate the associations of the three loci with HIV-1 infection and the progression of AIDS in the Han population of northern China. We recruited 78 HIV-1-seropositive individuals and 70 population-matched healthy controls from north China. PCR-RFLP was used to genotype these three polymorphisms in all samples. There were no significant differences in the frequencies of any allele between HIV-1-seropositive individuals and healthy controls. In cases, the associations between the three loci and CD4+ T-lymphocyte counts were not significant; however, there was a significant association between the genotype frequency of CCR2-64I and clinical category (P

Background Congenital cataract is a Mendelian disorder that frequently causes blindness in infants. To date, various cataract-associated loci have been mapped; more than 30 genes have been identified by linkage analysis. However, the pathogenic loci in some affected families are still unknown, and new research strategies are needed. In this study, we used linkage-exome combinational analysis to further investigate the pedigree of a four-generation Chinese family with autosomal dominant coralliform cataract. Methods We combined whole exome sequencing and linkage analysis to identify the causative mutation. The exome capture and next-generation sequencing were used to sequence the protein-coding regions in the genome of the proband to identify rare mutations, which were further screened for candidate mutations in linkage regions. Candidate mutations were independently verified for co-segregation in the whole pedigree using Sanger sequencing. Results We identified a C to A transversion at nucleotide position c.70 in exon 2 of CRYGD, a cataract-associated gene. This mutation resulted in a threonine substitution for proline at amino acid residue 24. Conclusions We identified a missense P24T mutation in CRYGD that was responsible for coralliform cataract in our studied family. Our findings suggest that the combination of exome sequencing and linkage analysis is a powerful tool for identifying Mendelian disease mutations that might be missed by the classic linkage analysis strategy.