ABSTRACT
OBJECTIVE: The aim of the present study was to examine whether interactions between polymorphisms in the thyroglobulin and ADAM metallopeptidase with thrombospondin type 1 motif, 16 (ADAMTS16) genes are associated with the development of premature ovarian failure (POF). METHODS: A total of 75 patients with POF and 196 controls were involved in this study. We used a GoldenGate assay to genotype single nucleotide polymorphisms (SNPs). Logistic regression analysis was performed to identify POF-associated polymorphisms and synergistic interactions between polymorphisms in the thyroglobulin and ADAMTS16 genes. RESULTS: Single gene analyses using logistic regression analysis showed no significant association between polymorphisms in the two genes and POF. In the results from interaction analyses, we found seven synergistic interactions between the polymorphisms in thyroglobulin and ADAMTS16, although there was no combination showing p-values lower than the significant threshold using the Bonferroni correction. When the AG genotype was present at the rs853326 missense SNP, the A and G alleles at the tagging SNPs rs16875268 and rs13168665 showed significant interactions (odds ratios=5.318 and 16.2 respectively; 95% confidence intervals, 1.64-17.28 and 2.08-126.4; p=0.0054 and 0.0079). CONCLUSION: Synergistic interactions between polymorphisms in the thyroglobulin and ADAMTS16 genes were associated with an increased risk of POF development in Korean women.
Subject(s)
Female , Humans , Alleles , Genotype , Logistic Models , Polymorphism, Single Nucleotide , Primary Ovarian Insufficiency , Thrombospondins , ThyroglobulinABSTRACT
Lipoprotein lipase (LPL) plays an essential role in the regulation of high-density lipoprotein cholesterol (HDLC) and triglyceride levels, which have been closely associated with cardiovascular diseases. Genetic studies in European have shown that LPL single-nucleotide polymorphisms (SNPs) are strongly associated with lipid levels. However, studies about the influence of interactions between LPL SNPs and lifestyle factors have not been sufficiently performed. Here, we examine if LPL polymorphisms, as well as their interaction with lifestyle factors, influence lipid concentrations in a Korean population. A two-stage association study was performed using genotype data for SNPs on the LPL gene, including the 3' flanking region from 7,536 (stage 1) and 3,703 (stage 2) individuals. The association study showed that 15 SNPs and 4 haplotypes were strongly associated with HDLC (lowest p = 2.86 x 10(-22)) and triglyceride levels (lowest p = 3.0 x 10(-15)). Interactions between LPL polymorphisms and lifestyle factors (lowest p = 9.6 x 10(-4)) were also observed on lipid concentrations. These findings suggest that there are interaction effects of LPL polymorphisms with lifestyle variables, including energy intake, fat intake, smoking, and alcohol consumption, as well as effects of LPL polymorphisms themselves, on lipid concentrations in a Korean population.
Subject(s)
3' Flanking Region , Alcohol Drinking , Cardiovascular Diseases , Cholesterol , Cross-Sectional Studies , Energy Intake , Genotype , Haplotypes , Life Style , Lipoprotein Lipase , Lipoproteins , Polymorphism, Single Nucleotide , Smoke , SmokingABSTRACT
Lipoprotein lipase (LPL) plays an essential role in the regulation of high-density lipoprotein cholesterol (HDLC) and triglyceride levels, which have been closely associated with cardiovascular diseases. Genetic studies in European have shown that LPL single-nucleotide polymorphisms (SNPs) are strongly associated with lipid levels. However, studies about the influence of interactions between LPL SNPs and lifestyle factors have not been sufficiently performed. Here, we examine if LPL polymorphisms, as well as their interaction with lifestyle factors, influence lipid concentrations in a Korean population. A two-stage association study was performed using genotype data for SNPs on the LPL gene, including the 3' flanking region from 7,536 (stage 1) and 3,703 (stage 2) individuals. The association study showed that 15 SNPs and 4 haplotypes were strongly associated with HDLC (lowest p = 2.86 x 10(-22)) and triglyceride levels (lowest p = 3.0 x 10(-15)). Interactions between LPL polymorphisms and lifestyle factors (lowest p = 9.6 x 10(-4)) were also observed on lipid concentrations. These findings suggest that there are interaction effects of LPL polymorphisms with lifestyle variables, including energy intake, fat intake, smoking, and alcohol consumption, as well as effects of LPL polymorphisms themselves, on lipid concentrations in a Korean population.
Subject(s)
3' Flanking Region , Alcohol Drinking , Cardiovascular Diseases , Cholesterol , Cross-Sectional Studies , Energy Intake , Genotype , Haplotypes , Life Style , Lipoprotein Lipase , Lipoproteins , Polymorphism, Single Nucleotide , Smoke , SmokingABSTRACT
BACKGROUND/AIMS: Matrix metallopeptidase (MMP) is known to be involved in tumor invasion and metastasis of cancer. This study investigated the association of MMP7 rs11568818, MMP8 rs11225395, MMP9 rs17576 and rs2250889 with gastric cancer (GC) development and lymph node metastasis (LNM). METHODS: Samples were obtained from 326 chronic gastritis (CG) and 153 GC patients and genotyped by using the GoldenGate(R) method. Chi-square test was performed to identify the difference of allele distribution between each group (CG vs. GC; CG vs. with LNM GC). The associations of genotype with risk of GC and LNM were estimated by odds ratio and the 95% confidence interval was calculated by logistic regression adjusting for age and sex. RESULTS: The allele and genotype frequencies of MMP7 rs11568818, MMP8 rs11225395, MMP9 rs17576 and rs2250889 were not associated with the development of GC and LNM. CONCLUSIONS: In summary, MMP7 rs11568818, MMP8 rs11225395 MMP9 rs17576 and rs2250889 were not associated with the GC development and LNM in Korean population.
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Age Factors , Alleles , Chronic Disease , Genotype , Logistic Models , Lymphatic Metastasis , Matrix Metalloproteinase 7/genetics , Matrix Metalloproteinase 8/genetics , Matrix Metalloproteinase 9/genetics , Neoplasm Staging , Odds Ratio , Polymorphism, Single Nucleotide , Risk Factors , Sex Factors , Stomach Neoplasms/geneticsABSTRACT
BACKGROUND/AIMS: Oncogenic RAS gene mutations have been frequently observed in many tumor types, and their associations with various cancers were reported. This study was conducted to evaluate the association between H-RAS T81C polymorphism and gastric cancer development. METHODS: H-RAS T81C polymorphism was genotyped in 321 chronic gastritis (ChG) and 151 gastric cancer (GC) patients using GoldenGate(R) Assay kit. Logistic regression analysis adjusted for age and gender was performed to identify the differences of genotype and allele distributions between the each group. RESULTS: All ChG and GC patients were in Hardy-Weinberg equilibrium. When the frequencies of H-RAS T81C genotype in each group were compared, the homozygous type of major allele TT was more frequent in GC group (62.9%) than ChG group (57.3%), while the frequencies of heterozygous type TC and homozygous type of minor allele CC were higher in ChG group than GC group (39.3% vs. 33.8%, 3.4% vs. 3.3%, respectively). In the results of logistic regression analyses adjusted for age and gender, the odds ratios were 0.845 (0.604-1.182), 0.799 (0.556-1.147), 0.741 (0.493-1.114) and 1.094 (0.366-3.270) for allele, codominant, dominant and recessive models, respectively. However, significant difference was not observed between two groups in any models. CONCLUSIONS: H-RAS T81C polymorphism was not associated with gastric cancer development in a Korean population.
