Background: Results from previous studies concerning the association of ERCC4 rs1800067 polymorphism with risk of cancer were inconsistent. To explore the exact relation with susceptibility, we conducted the present meta-analysis. Materials and Methods: Literature of electronic databases including PubMed, Web of Science, EMBASE, Wanfang and Chinese National Knowledge Infrastructure (CNKI) were systematically searched. ORs and their 95%CIs were used to assess the strength of associations between ERCC4 polymorphism and cancer risk. Results: There was no significant association between ERCC4 rs1800067 AA or AG genotypes and overall risk of cancer (AA vs. GG: OR=0.998, 95%CI=0.670-1.486, P=0.992; AG vs. GG: OR=0.970, 95%CI=0.888-1.061, P=0.508). A dominant genetic model also did not demonstrate significant association of (AA+AG) genotype carriers with altered risk of overall cancer (OR=0.985, 95%CI=0.909-1.068, P=0.719). In addition, no significant association was observed between A allele of ERCC4 rs1800067 A/G polymorphism and altered cancer risk compared with G allele (OR=0.952, 95%CI=0.851-1.063, P=0.381). Subgroup analysis suggested that AA genotype carriers were significantly associated with decreased risk of glioma compared with wild-type GG genotype individuals (OR=0.523, 95%CI=0.275-0.993, P=0.048). For subgroup of lung cancer, A allele of ERCC4 rs1800067 A/G polymorphism was significantly associated with decreased risk of lung cancer compared with G allele (OR=0.806, 95%CI=0.697-0.931, P=0.003). Conclusions: This meta-analysis indicated that ERCC4 rs1800067 A/G polymorphism might not be associated with risk of overall cancer. However, individuals with the AA genotype were associated with significantly reduced risk of glioma compared with wild-type GG genotype; The A allele was associated with significantly reduced risk of lung cancer compared with G allele. Future large-scale studies performed in multiple populations are warranted to confirm our results.
Kim, Kee-Pyo;Kim, Gun-Do;Kang, Yong-Kook;Lee, Dong-Seok;Koo, Deog-Bon;Lee, Hoon-Taek;Chung, Kil-Saeng;Lee, Kyung-Kwang;Han, Yong-Mahn
Proceedings of the KSAR Conference
/
2003.06a
/
pp.27-27
/
2003
A diversified and concentrative approach of methylation player can be one of the most powerful studies in the understanding of global epigenetic modifications. Previous studies have suggested that DNA methylation contributes to transcriptional silencing through the several DNA methylation-mediated repression systems by hypermethylation, including methyltransferases (DNMTs), DNA methyltransferase association protein 1 (DMAPl), methyl-CpG binding domain (MBD), and histone deacetylases (HDACs). Assembly of these regulatory protein complexes act sequentially, reciprocally, and interdependently on the newly composed DNA strand through S phase. Therefore, these protein complexes have a role in coupling DNA replication to the designed turn-off system in genome. In this study, we attempted to address the role of DNA methylation by the functional analysis of the methyltransferase molecule, we described the involvement of DMAP1 and DNMTs in cell divistion and the effect of their loss. We also described distinct patterns that DMAP1 and DNMTs are spatially reorganized and displaced from condensing chromosomes as cells progress through mitosis in HeLa cell, COS7, and HIH3T3 cell cycle progressions. DNMT1, DNMT3b, and DMAP1 do not stably contact the genetic material during chromosome compaction and repressive expression. These finding show that the loss of activities of DNMTs and DMAP1 occure stage specifically during the cell cycle, may contribute to the integral balance of global DNA methylation. This is consistent with previous studies resulted in decreased histone acetyltransferases and HDACs, and differs from studies resulted in increased histone methyltransferases. Our results suggest that DNA methylation by DNMTs and DMAP1 during mitosis acts to antagonize hypermethylation by which this mark is epigenetical mitotic-specific methylation.
Guo, Li-Yan;Yang, Ning;Hu, Die;Zhao, Xia;Feng, Bing;Zhang, Yan;Zhai, Min
Asian Pacific Journal of Cancer Prevention
/
v.15
no.21
/
pp.9107-9112
/
2014
Purpose: To investigate and study the relationship between the PLCE1 rs2274223 gene polymorphism and susceptibility to esophageal cancer by meta-analysis. Materials and Methods: The literature was searched in Wanfang, CNKI, PubMed, CBM, Web of Science, MEDLINE, EMBASE, Springer, Elsevier and Cochrane databases from the date of January $1^{st}$ 2004 to April $1^{st}$ 2014 to collect case-control studies on the PLCE1 polymorphism and susceptibility to esophageal cancer. For the population genotype distributions of both esophagus cancer and control groups, their odds ratios (ORs) and 95% confidence intervals (CIs) were taken as effect indexes. Disqualified studies were excluded. Odds ratios of PLCE1 rs2274223 genotype distributions in the group of patients with esophageal cancer and the group of healthy control were calculated. The metaanalysis software, RevMan5.0, was applied for heterogeneity test, pooled OR and 95% confidence intervals. Sensitivity analysis and publication bias were also explored. Results: A total of twelve case-control studies were included, covering a total of 9, 912 esophageal cancer cases and 13, 023 controls were included. The pooled odds ratio of PLCE1 rs2274223 genotype GA vs AA was 1.29 (95%CI=1.17~1.43), p<0.01, GG vs AA was 1.65 (95%CI=1.32~2.05), p<0.01, GG/GA vs AA was 1.30 (95%CI=1.16~1.46), p<0.01 and GG vs GA/AA was 1.48 (95%CI=1.22~1.80), p<0.01. The PLCE1 rs2274223 polymorphism was thus associated with risk of esophageal cancer in all genetic models. In the stratified analysis by ethnicity, and source of controls, no significantly increased risk was observed for white persons. There was no obvious publication bias detected. Conclusions: This meta-analysis showed there was a significantly association between PLCE1 rs2274223 polymorphism and esophageal cancer in yellow race populations. Due to some minor limitations, our findings should be confirmed in further studies.
The potential correlation of X-ray repair cross-complementing group 1 (XRCC1) Arg399Gln polymorphism with hepatocellular carcinoma (HCC) susceptibility is ambiguous. Taking account of inconsistent results of previous meta-analyses and new emerging literatures, we conducted a meta-analysis covering 15 case-control datasets to evaluate the relationship. Relevant studies from Medline, Embase and CNKI were retrieved. A fixed-effect model or a random-effect model, depending on between-study heterogeneity, were applied to estimate the association between XRCC1 polymorphism Arg399Gln and HCC risk with the results presented as odds ratios (ORs) and 95% confidence intervals (95% CIs). In accordance with Hardy-Weinberg equilibrium, 15 studies with data for 6,556 individuals were enrolled in this systematic review. For overall HCC,thr XRCC1 polymorphism Arg399Gln was significantly associated with HCC susceptibility in a homozygote model as well as in a dominant model (G/G vs. A/A, OR=1.253, p=0.028; G/G+A/G vs. A/A, OR= 1.281, p=0.047, respectively), but not in a heterozygote model (A/G vs. A/A, OR=1.271, p=0.066) or a recessive model (G/G vs. A/G + A/A, OR= 1.049, p=0.542). Similar results were also observed on stratification analysis by ethnicity (A/G vs. A/A, OR=1.357, p=0.025; G/G vs. A/A, OR=1.310, p=0.011; G/G+A/G vs. A/A, OR= 1.371, p=0.013). However, no potential contribution of XRCC1 Arg399Gln polymorphism to HCC susceptibility in HBV/HCV subgroups was identified. No publication bias was found in this study. In conclusion, the XRCC1 Arg399Gln polymorphism contributes to HCC susceptibility. Due to the lack of studies in Western countries, further large-sample and rigorous studies are needed to validate the findings.
This study was performed to offer effective basic data for selection and improvement of Korean dairy cattle through identifying distributional properties among candidate genes (bovine butyrophilin, signal transducers and activators of transcription 5a, and prolactin hormone). In this study, polymorphisms of candidate genes were identified and the relationships between loci and production traits of each gene were analyzed using frozen semen of Holstein bulls (19 proven and 77 candidates). In butyrophilin (BTN) locus, polymorphisms information contents (PIC) value of BTN2 (0.372) was higher than those of others (BTN1; 0.155, BTN3; 0.254, BTN4; 0.169). As a result of analysis of genotyping STAT5a, using single stranded conformational polymorphism (SSCP) method and microsatellite locus, PIC values were 0.189 and 0.457, respectively. And PIC value of prolactin hormone gene was 0.176. In the relationships between genotypes and production traits, BTN3 was associated with 305-day production traits (p<0.05). PTAs for B allele were such as 110.43, 88.28 and 75.25 in BTN1, 3, 4 and these values were higher than those of A allele, but in the case of BTN2, A allele with 154.19 was higher than that of B allele. The results obtained from using candidate genes may be used as an useful index for the genetic improvement of dairy cattle population in Korea, and further studies are needed.
Toll-like receptors (TLRs) play an important role in the recognition of invading pathogens and the modulation of innate immune responses in mammals. The TLR4 and TLR7 are well known to recognize the bacterial lipopolysaccharide (LPS) and single stranded (ssRNA) ligands, respectively and play important role in host defense against Gram-negative bacteria and ssRNA viruses. In the present study, coding exon fragments of these two TLRs were identified, cloned, sequenced and analyzed in terms of insertion-deletion polymorphism, within bovine TLRs 4 and 7, thereby facilitating future TLR signaling and association studies relevant to bovine innate immunity. Comparative sequence analysis of TLR 4 exons revealed that this gene is more variable, particularly the coding frame (E3P1), while other parts showed percent identity of 95.7% to 100% at nucleotide and amino acid level, respectivley with other Bos indicus and Bos taurus breeds from different parts of the world. In comparison to TLR4, sequence analysis of TLR7 showed more conservation among different B. indicus and B. taurus breeds, except single point mutation at 324 nucleotide position (AAA to AAM) altering a single amino acid at 108 position (K to X). Percent identity of TLR7 sequences (all 3 exons) was between 99.2% to 100% at nucleotide and amino acid level, when compared with available sequence database of B. indicus and B. taurus. Simple Modular Architecture Research Tool (SMART) analysis showed variations in the exon fragments located in the Leucine Rich Repeat (LRR) region, which is responsible for binding with the microbial associated molecular patterns and further, downstream signaling to initiate anti-microbial response. Considering importance of TLR polymorphism in terms of innate immunity, further research is warranted.
The growing problem of obesity is associated with numerous medical conditions. Several studies have reported that activation of thyroid hormone receptor beta $(THR{\beta})$ is involved in lipid metabolism and thermogenesis. To identify the relationship between the $THR{\beta}$ gene and obesity, we genotyped eighty two single nucleotide polymorphisms (SNPs) in the gene using the Affymetrix array chip in 209 overweight/obese and 155 normal subjects in Korean population. Of the eighty two polymorphisms, the seven SNPs exhibited a significant association with overweight/obesity in three alternative models (codominant, dominant, and recessive models; P<0.05 after adjusting for age and sex) were rs826221 (+267878 T>C), rs4858604 (+186399 A>G), rs1158265 (+200152 T>C), rs1868575 (+206031 G>A), rs1700939 (+238467 T>A), rs1505301 (+241933 T>C), and rs1924768 (+126491 T>C). During haplotype analysis using HapAnalyzer software, 2 haplotypes (block 13: TTAT; block 15: CTGC) containing significant polymorphisms (rs1700939 +238467 T>A and rs4858604 +186399 A>G) were detected to be significantly different. The results suggest that the $THR{\beta}$ gene may be associated with overweight/obesity in Korean population.
Background: Phospholipase C epsilon 1 (PLCE1) encodes a member of the phospholipase family of proteins that play crucial roles in carcinogenesis and progression of several cancers including esophageal cancer (EC). In two large scale genome-wide association studies (GWAS) single nucleotide polymorphisms (SNP, rs2274223A>G, rs3765524C>T) in PLCE1 were identified as novel susceptibility loci of esophageal cancer (EC) in China. The aim of the present study was to investigate this finding in Kashmir Valley, a high risk area. Materials and Methods: We determined genotypes of three potentially functional SNPs (rs2274223A>G, rs3765524C>T and rs7922612C>T) of PLCE1 in 135 EC patients, and 195 age and gender matched controls in Kashmiri valley by PCR RFLP method. Risk for developing EC was estimated by binary logistic regression using SPSS. Results: The selected PLCE1 polymorphisms did not show independent association with EC. However, the $G_{2274223}T_{3765524}T_{7922612}$ haplotype was significantly associated with increased risk of EC (OR=2.92; 95% CI=1.30-6.54; p=0.009). Smoking and salted tea proved to be independent risk factors for EC. Conclusions: Genetic variations in PLCE1 modulate risk of EC in the high risk Kashmiri population.
Journal of the Korea Society of Computer and Information
/
v.17
no.11
/
pp.141-148
/
2012
The advance of technologies for human genome makes it possible that the analysis of association between genetic variants and diseases and the application of the results to predict risk or susceptibility to them. Many of those studies carried out in case-control study. For quantitative traits, statistical analysis methods are applied to find single nucleotide polymorphisms (SNP) relevant to the diseases and consider them one by one. In this study, we presented methods to select informative single nucleotide polymorphisms and predict risk for quantitative traits and compared their performance. We adopted two SNP selection methods: one considering single SNP only and the other of all possible pairs of SNPs.
Kim, Dong-Hyeon;Kwon, Young-Joon;Kim, Jae-Woo;Shim, Se-Hoon;Jung, Hee-Yeon
Korean Journal of Biological Psychiatry
/
v.11
no.2
/
pp.110-116
/
2004
Objectives:Recently, polymorphisms of several serotonin genes have been suggested to be associated with suicide, but the results are still unclear. We examined whether the T102C polymorphisms of the serotonin 2A receptor gene and the G861C polymorphisms of the serotonin 1B receptor gene were associated with suicidal behavior using drug intoxication. Methods:The subjects were 52 patients who visited emergency room with suicidal behaviors. Fifty controls were selected from healthy volunteers matched for sex and age to the suicide subjects. The polymorphisms were analyzed with TaqMan$^{(R)}$ assay using primers based on previous studies. Results:The T102C polymorphism of the serotonin 2A receptor gene showed no significant difference between the suicidal attempters and controls in both genotype and allele frequency analyses(p=0.179 and p=0.422, respectively). There was no statistically significant difference between the suicidal attempters and the controls in the G861C polymorphism of the serotonin 1B receptor gene and any significant effect of the genotype distributions or the allele frequencies was not observed(p=0.092 and p=0.987, respectively). Conclusion:These findings suggest that the T102C polymorphism in serotonin 2A receptor gene and the G861C polymorphism in serotonin 1B receptor gene are not related to the susceptibility to suicide attempts using drugs. To clarify the genetic influences of the serotonergic system on suicidal behavior, the polymorphisms of other candidate genes in the serotonergic system should be studied with larger numbers of subjects.
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