Additional Gene-gene Interaction Research Articles

Haplotype analysis on association between C-reactive protein gene and susceptibility to type 2 diabetes mellitus in Chinese Han population : CRP gene and type 2 diabetes mellitus.

We aimed to evaluate the impact of C-reactive protein (CRP) gene polymorphism, additional gene-gene interaction, and haplotypes on susceptibility to type 2 diabetes mellitus (T2DM). SNPstats online software ( https://www.snpstats.net/start.htm ) was employed to evaluate the association between CRP gene and T2DM risk. High-order interactions among SNPs was tested using generalized multifactor dimensionality reduction, and the testing balanced accuracy, training balanced accuracy and cross-validation consistency were calculated. The SHEsisPlus ( http://shesisplus.bio-x.cn/SHEsis.html ) online software was used for haplotype analysis. A total of 730 T2DM patients and 765 controls were enrolled. The T allele of rs1205 is associated with increased susceptibility to T2DM, OR (95% CI) were 1.51 (1.13-2.01), 1.44 (1.10-1.89) and 1.25 (1.01-1.54) for codominant, dominant and over-dominant models, respectively. We also found that minor allele of rs2794521 is associated with decreased susceptibility to T2DM under codominant and recessive models, OR (95%CI) were 0.38 (0.18-0.79) and 0.37 (0.16-0.80) for codominant and recessive models, respectively. No significant gene-gene interaction existed among CRP gene SNPs, allinteraction p- values were more than 0.05. Haplotype analyses suggested the CGCA haplotype containing rs1205-C, rs1130864-G, rs2794521- C and rs3093059- A allele was associated with decreased risk of T2DM, OR (95% CI) = 0.83 (0.68-0.98), P = 0.047. Minor allele of rs1205 was associated with increased T2DM risk. Minor allele of rs2794521 and the CGCA haplotype were associated with decreased T2DM risk.

Interaction of MTHFR gene with smoking and alcohol use and haplotype combination susceptibility to psoriasis in Chinese population.

To investigate the association of MTHFR gene polymorphism and additional gene-gene interaction with psoriasis risk. GMDR model was used to screen the best gene-smoking and gene-drinking interaction combinations. Logistic regression was performed to investigate association between two SNPs and psoriasis. For psoriasis patient-control haplotype analyses, the SHEsis online haplotype analysis software ( http://analysis.bio-x.cn ) was employed. We found that carriers of homozygous mutant of rs1801133 polymorphism and heterozygous of rs1801131 are associated with increased psoriasis risk than those with wild-type homozygotes, OR (95%CI) were 2.01 (1.48-2.79), and 2.08 (1.56-2.86), respectively. We also found a significant gene-environment interaction between C677T and alcohol drinking. In all samples, the haplotype 1298A-677C was observed most frequently in two groups, with 49.43 and 55.71% for the patients and controls, respectively. The results also indicated that the haplotype containing 1298C and 677T alleles were associated with a statistically increased psoriasis risk, OR (95%CI) = 1.73 (1.12-2.46), P = 0.0002. Our study found that rs1801133, rs1801131 within MTHFR gene, and interaction between C677T and alcohol drinking and haplotype containing the 1298C and 677T alleles were all associated with increased psoriasis risk.

Association of Interleukin-6 Genetic Polymorphisms and Environment Factors Interactions with Coronary Artery Disease in a Chinese Han Population

ABSTRACTObjectives: To investigate the influence of IL-6 single nucleotide polymorphisms (SNPs), additional gene-gene and gene-environment interactions on coronary artery disease (CAD) risk. Methods: A total of 751 participants (429 CAD patients and 322 controls) were recruited in this study. Logistic regression analysis was conducted to evaluate the association of IL-6 SNPs with CAD risk and generalized multifactor dimensionality reduction (GMDR) was performed to investigate the best interaction combinations for gene-gene and gene-environment interactions. Results: CAD risk is significantly higher in carriers of C allele of the rs1800795 polymorphism than those with GG genotype (CC + CG versus GG, adjusted OR (95%CI) = 2.07 (1.56–2.86), p < 0.001). GMDR analysis revealed rs1800795 was significantly interacted with tobacco smoking and alcohol drinking in two-locus model (p < 0.0010). Current smokers with CC or CG of rs1800795 genotype have the highest CAD risk, OR (95%CI) = 3.22 (2.45–3.94) and current drinkers with CC or CG of rs1800795 genotype have the highest CAD risk, OR (95%CI) = 3.17 (2.20–4.24). Conclusion: The C allele of rs1800795 within IL-6 gene promoter, rs1800795-tobacco smoking and rs1800795-alcohol drinking interaction were all associated with increased CAD risk.

Estrogen receptor alpha gene (ESR1) polymorphism and its interaction with smoking and drinking contribute to susceptibility of systemic lupus erythematosus.

The aim of this study is to investigate the association of estrogen receptor alpha gene (ESR1) polymorphisms, additional gene-gene, and gene-environment interaction with systemic lupus erythematosus (SLE) risk. SNPStats (available online at http://bioinfo.iconcologia.net/SNPstats ) was used to investigate the Hardy-Weinberg equilibrium (HWE) in controls and association between SNP and SLE risk. Generalized multifactor dimensionality reduction (GMDR) was used to screen the interactions among SNPs and environmental risk factors; SLE risk was significantly higher in carriers of rs2234693 C allele than those with TT (TC + CC versus TT), adjusted OR (95%CI)=1.57 (1.21-2.06), and was also higher in carriers of rs9340799 G allele than those with AA (AG + GG versus AA), adjusted OR (95%CI)=1.68 (1.24-2.13). However, we also find no association between rs2228480 and SLE risk after covariates adjustment. We found a significant two-locus model (p=0.0010) involving rs2234693 and smoking; the cross-validation consistency of this model was 10/10, and the testing accuracy was 62.70%. Smokers with TC or CC of rs2234693 genotype have the highest SLE risk, compared to never-smokers with TT of rs2234693 genotype, OR (95%CI) was 2.50 (1.65-3.42), after covariates adjustment for gender, age, alcohol drinking, and BMI. We found that C allele of rs2234693 and G allele of rs9340799 within ESR1 gene, their interaction between rs2234693 and current smoking were all associated with increased SLE risk.

Association of folate metabolism gene polymorphisms and haplotype combination with pulmonary embolism risk in Chinese Han population.

In this study, we aimed to investigate the association of four single nucleotide polymorphisms (SNPs) (MTHFR 677 C > T, MTHFR 1298 A > C, MTR 2756 A > G and MTRR 66 A > G), gene-gene interaction and haplotype combination with pulmonary embolism (PE) risk based on Chinese Han population. Logistic regression was performed to investigate association between four SNPs within folate metabolism gene and PE risk, and GMDR model was used to investigate the additional gene-gene interactions among the four SNPs. Logistic analysis showed that rs1801133 and rs1801131 in MTHFR gene were associated with increased PE risk in both additive and dominant models. The carriers with homozygous mutant of rs1801133 polymorphism and homozygous of rs1801131 were associated with increased PE risk, and ORs (95% CI) were 1.71(1.24-2.21) and 1.58 (1.24-2.01), respectively. We also found a significant gene-gene interaction between rs1801133 and rs1801131 on PE. Overall, the cross-validation consistency of this two-locus model was 10/10, and the testing accuracy was 60.72%, after adjusting for covariates. Haplotype containing the rs1801133- T and rs1801131- C alleles were associated with a statistically increased PE risk, OR (95% CI) = 2.68 (1.28-4.13), P < 0.001. We found that rs1801133 and rs1801131 within MTHFR gene, their interaction, and haplotype containing the rs1801133- T and rs1801131- C alleles were all associated with PE risk.

Association of toll-like receptor gene polymorphisms and its interaction with HPV infection in determining the susceptibility of cervical cancer in Chinese Han population.

The aim of the study is to investigate the association of several single-nucleotide polymorphisms (SNPs) within Toll-like receptors (TLRs) gene and additional gene-gene and gene-human papillomavirus (HPV) infection interaction with cervical cancer risk. A total of 1262 participants are selected, including 420 cervical cancer patients and 842 control participants. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination among five SNPs within TLR gene and HPV infection. Logistic regression was performed to calculate the ORs (95 %CI) for association of five SNPs within TLR gene and additional gene-HPV infection interaction with cervical cancer risk. Cervical cancer risk was significantly higher in carriers of the T allele of rs3775290 within TLR2 gene, the G allele of rs7873784 within TLR4 gene, and the A allele of rs352140 within TLR9 gene than those with wild genotype; adjusted ORs (95 %CI) were 1.78 (1.20-2.24), 1.65 (1.23-2.12), and 1.70 (1.16-2.31). However, we did not find any significant association of rs4986791 and rs11536889 with cervical cancer risk. GMDR analysis suggested a significant two-locus model (p = 0.0107) involving rs352140 and HPV infection. Subjects with HPV infection and rs352140-GA + AA genotype within TLR9 gene have the highest cervical cancer risk, compared to no HPV infection participants with rs352140-GG genotype, OR (95 %CI) = 3.22 (1.68-4.81). Pairwise LD analysis did not find any significant haplotype combination associated with cervical cancer risk. The minor alleles of TLR2-rs3775290, TLR4-rs7873784, and TLR9-rs352140, and interaction between rs352140 and HPV infection were all associated with increased cervical cancer risk.

Haplotype analysis on relationship of ERCC2 and ERCC3 gene polymorphisms with osteosarcoma risk in Chinese young population.

The purpose of the study was to investigate the association of single-nucleotide polymorphisms (SNPs) within excision repair cross-complementation (ERCC) gene polymorphisms, additional gene-gene interaction, and haplotype combination with osteosarcoma risk. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination among SNPs. Logistic regression was performed to investigate the association between six SNPs within ERCC gene, additional gene-gene interaction on osteosarcoma risk. Haplotype analysis was performed using SNPstats ( http://bioinfo.iconcologia.net/SNPstats ). Osteosarcoma risk was significantly higher in carriers with the T allele of ERCC2-rs1799793 than those with GG genotype (GT+ TT vs. GG), adjusted OR (95% CI) = 1.56 (1.13-2.01), and higher in carriers with the A allele of ERCC3-rs4150441 than those with GG genotype (GA+ AA vs. GG), adjusted OR (95% CI) = 1.63 (1.25-2.09). GMDR model indicated a significant two-locus model (p = 0.0107) involving rs1799793 and rs4150441; cross-validation consistency of the two-locus model was 9/10; and the testing accuracy was 60.11%. Participants rs1799793-GT or -TT and rs4150441-GA or -AA genotype have the highest osteosarcoma risk, compared to subjects with rs1799793-GG and rs4150441-GG genotype, OR (95% CI) = 2.87 (1.21-4.63), after covariates adjustment. Haplotype containing the rs1799793-T and rs11615-T alleles was associated with a statistically increased osteosarcoma risk, OR (95% CI) = 1.47 (1.12-1.92). We found that the T allele of ERCC2-rs1799793 and the A allele of ERCC3-rs4150441, interaction between rs1799793 and rs4150441, and haplotype containing the rs1799793T and rs11615-T alleles were all associated with increased osteosarcoma risk.

A population association study of vitamin D receptor gene polymorphisms and haplotypes with the risk of systemic lupus erythematosus in a Chinese population.

The aim of the study is to investigate the association of vitamin D receptor (VDR) gene polymorphism, additional gene-gene interaction, and haplotype combination with systemic lupus erythematosus (SLE) risk. Pairwise linkage disequilibrium (LD) analysis was conducted using SNPstats. The association between four SNPs within VDR gene and SLE risk was investigated by logistic regression. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the interaction among four SNPs. Four SNPs within VDR gene were selected for genotyping in this study, including rs2228570, rs1544410, rs7975232, and rs731236. The T allele of rs2228570 and the G allele of the rs1544410 were associated with increased MM risk, adjusted ORs (95%CI) were 1.61(1.25-2.11) and 1.78 (1.34-2.23), respectively. GMDR analysis suggested a significant two-locus model (P=0.0010) involving rs1544410 and rs2228570, and in this model, the cross-validation consistency was 10/10, and the testing accuracy was 62.70%. The haplotype analysis indicated that the most common haplotype was rs1544410-A and rs7975232-G haplotype, the frequencies of which were 0.4701 and 0.5467 in case and control group. Haplotype containing the rs1544410-G and rs7975232-T alleles were associated with increased SLE risk, OR (95%CI)=2.08 (1.47-2.72), P<0.001. We found that rs2228570 and rs1544410 within VDR gene, their interaction and haplotype containing the rs1544410-G and rs7975232-T alleles were all associated with increased SLE risk.

Gene-gene Interaction Analyses for Atrial Fibrillation.

Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27–1.65, P = 4.3 × 10–8). Eight additional gene-gene interactions were also marginally significant (P < 5 × 10–7). However, none of the top interactions were replicated. In summary, we did not find significant interactions that were associated with AF susceptibility. Future increases in sample size and denser genotyping might facilitate the identification of gene-gene interactions associated with AF.

Gene-gene interaction between CD40 and CD226 gene on systemic lupus erythematosus in the Chinese Han population.

The aim of the study is to investigate the impact of CD40 and CD226 gene single-nucleotide polymorphism (SNP) and additional gene-gene interaction on systemic lupus erythematosus (SLE) risk in Chinese Han populations. Three SNPs were selected for genotyping in the case-control study: rs4810485, rs763361, and rs3765456. Logistic regression was performed to investigate association between SNP within CD40 and CD226 and SLE. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the interaction among three SNPs. Logistic regression analysis showed that SLE risk was significantly higher in carriers of T allele of rs4810485 in CD40 gene than those with GG genotype (GT+ TT vs GG), adjusted OR (95% CI) 1.84 (1.40-2.29). In addition, we also found SLE risk was also significantly higher in carriers of rs763361 T allele within CD226 gene than those with CC genotype (CT+ TT vs CC), adjusted OR (95% CI) 1.89 (1.38-2.13). GMDR analysis suggested a potential gene-gene interaction between rs4810485 and rs763361. Overall, cross-validation consistency of the two-locus model was 10/10, and the testing accuracy was 62.17%. We also found that subjects with GT or TT of rs4810485 and CT or TT of rs763361 genotype have the highest SLE risk, compared with subjects with GG of rs4810485 and CC of rs763361 genotype, and OR (95% CI) was 2.14 (1.67-3.08), after covariates adjustment. Our results support an important association of rs4810485 in CD40 gene and rs763361 in CD226 gene polymorphism, combined effect of rs4810485 and rs763361 with increased risk of SLE.

Single-nucleotide polymorphisms of peroxisome proliferator-activated receptor-γ are associated with systemic lupus erythematosus in a Chinese Han population.

Evidence has indicated that peroxisome-proliferator activated receptor-γ (PPAR-γ) agonists could be used in the prevention and treatment of murine systemic lupus erythematosus (SLE). However, to our knowledge, just one previous study has focused on the association between PPAR-γ polymorphisms and SLE in humans. To investigate the association between PPAR-γ polymorphisms and SLE in a Chinese population and on additional gene-gene interaction between multiple single nucleotide polymorphisms (SNPs) in PPAR-γ. Three SNPs of PPAR-γ were selected for genotyping in this case-control study: rs1805192, rs10865710 and rs709158. Logistic regression was used to examine the association between the three SNPs and SLE, and the odds ratio (OR) and 95% CI were calculated. Generalized multifactor dimensionality reduction (GMDR) was used to investigate additional interaction. All genotypes were distributed according to Hardy-Weinberg equilibrium. Logistic regression analysis showed a significant association between genotypes of rs1805192 variants and decreased SLE risk, after adjustment for sex, age, smoking, high-fat diet, low-fibre diet, alcohol status, body mass index and waist circumference. Participants with Ala allesles had a lower SLE risk than those homozygous for the wild-type allele (OR=0.78; 95% CI 0.69-0.92). GMDR analysis indicated that there was a significant two-locus model (P=0.001) involving rs1805192 and rs10865710, indicating a potential gene-gene interaction between them. Overall, the two-locus models had a cross-validation consistency of 10 out of 10 and a testing accuracy of 60.72%. There was a significant association between PPAR-γ rs1805192 genotypes and decreased SLE risk, and a potential gene-gene interaction between rs1805192 and rs10865710.

Association of adiponectin gene polymorphisms and additional gene-gene interaction with nonalcoholic fatty liver disease in the Chinese Han population.

To investigate the association between the single nucleotide polymorphisms (SNPs) of the adiponectin gene and nonalcoholic fatty liver disease (NAFLD) as well as the impact of the interaction of multiple SNPs on NAFLD risk, based on a Chinese population study. A total of 612 subjects (411 male, 201 female) were selected, including 302 NAFLD patients and 310 controls. Three SNPs were selected for genotyping in the case-control study: rs266729, rs822393, and rs1501299. A logistic regression model was used to examine the interaction between the SNPs and NAFLD. The odds ratio (OR) and 95% confidence interval (95% CI) were calculated. Generalized multifactor dimensionality reduction (GMDR) was employed to analyze the interaction among SNPs. Logistic analysis showed a significant association between genotypes of variants in rs266729 and rs822393 and increased NAFLD risk. The carriers of the homozygous mutant of two SNP polymorphisms revealed increased NAFLD risk compared to those with wild-type homozygotes; ORs (95% CI) were 1.31 (1.14-1.81) (p=0.001) and 1.18 (1.05-1.71) (p=0.005), respectively. There was a significant two-locus model (p=0.0010) involving rs266729 and rs822393, indicating a potential gene-gene interaction between rs266729 and rs822393. Overall, the two-locus models had a cross-validation consistency of 10 and testing accuracy of 62.17%. Subjects with the CG or GG and CT or TT genotype have the highest NAFLD risk compared to subjects with the CC-CC genotype; the OR (95% CI) was 2.52 (1.31-3.82), p<0.001, after covariate adjustment. Our results support an important association of the rs266729 (-11377 G/C) and rs822393 (-4522 C/T) polymorphism with increased risk of NAFLD. The interaction analysis showed a combined effect of rs266729 and rs822393 on NAFLD.

The Association of Peroxisome Proliferator-Activated Receptor δ and Additional Gene-Gene Interaction with C-Reactive Protein in Chinese Population.

Aims. To examine the association between 4 single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptors δ (PPARδ) polymorphisms and C-reactive protein (CRP) level and additional gene-gene interaction. Methods. Line regression analysis was performed to verify polymorphism association between SNP and CRP levels. Generalized multifactor dimensionality reduction (GMDR) was employed to analyze the interaction. Results. A total of 1028 subjects (538 men, 490 women) were selected. The carriers of the C allele (TC or CC) of rs2016520 were associated with a significant decreased level of CRP, regression coefficients was −0.338, and standard error was 0.104 (p = 0.001). The carriers of the G allele (CG or GG) of rs9794 were also significantly associated with decreased level of CRP, regression coefficients was −0.219, and standard error was 0.114 (p = 0.012). We also found a potential gene-gene interaction between rs2016520 and rs9794. Subjects with rs2016520-TC or CC, rs9794-CG or GG genotypes have lowest CRP level, difference (95% CI) = −0.50 (−0.69 to −0.21) (p < 0.001), compared to subjects with rs2016520-TT and rs9794-CC genotypes. Conclusions. rs2016520 and rs9794 minor allele of PPARδ and combined effect between the two SNP were associated with decreased CRP level.

Association of genetic polymorphisms in PTEN and additional gene-gene interaction with risk of esophageal squamous cell carcinoma in Chinese Han population.

This study aims to investigate the association of five single nucleotide polymorphisms (SNPs) in the phosphatase and tensin homologue (PTEN) gene and additional role of gene-gene interaction with esophageal squamous cell carcinoma (ESCC), based on a Chinese case-control study. A total of 871 subjects (420 males and 451 females) were selected, including 425 ESCC cases and 446 controls. Five SNPs were selected for genotyping in the case-control study: rs2735343, rs555895, rs2299939, rs17431184 and rs701848. Logistic regression model was used to examine the association between five SNP and ESCC, and additional interaction among five SNP, odds ratio (OR) and 95% confident interval (95%CI) were calculated. All genotypes were distributed according to Hardy-Weinberg equilibrium in controls. The carriers of homozygous mutant of rs2735343 and rs701848 polymorphism revealed increased ESCC risk than those with wild-type homozygotes, and OR (95%CI) were 1.27 (1.09-2.08) and 1.45 (1.17-1.98), respectively. We also found a potential gene-gene interaction between rs2735343 and rs701848 (P = 0.0010), and a potential gene-gene interaction among all five SNP (P = 0.0107) after covariates adjustment. Subjects with TC or CC of rs2735343 and TC or CC of rs701848 genotype have highest ESCC risk, compared to subjects with TT of rs2735343 and TT of rs701848 genotype, OR (95% CI) was 2.76 (1.37-3.45) after covariates adjustment. The carriers of homozygous mutant of rs2735343 and rs701848 polymorphism revealed increased ESCC risk. We also found a potential gene-gene interaction between rs2735343 and rs701848 and a potential gene-gene interaction among all five SNPs.

Gender specific associations of the Trp64Arg mutation in the beta3-adrenergic receptor gene with obesity-related phenotypes in a Mediterranean population: interaction with a common lipoprotein lipase gene variation

To investigate the association between the Trp64Arg beta3-adrenergic receptor (ADRB3) mutation and obesity-related phenotypes in a Mediterranean Spanish population considering the effect of other genetic and environmental factors. DESIGN AND SUBJECT: Cross-sectional study in 1063 (476 men and 587 women) randomly selected from this population (aged: 18-68 years). Anthropometric (weight, height and waist-to-hip ratio), blood pressure, biochemical (lipids, fasting glucose, and uric acid), life-style variables, and the Trp64Arg, HindIII-Lipoprotein lipase (LPL) and apolipoprotein E polymorphism. Frequency of the Arg64 allele was low (0.051; 95% CI: 0.042-0.060). We found gender-specific associations between the Trp64Arg mutation and obesity related phenotypes. In men, carriers of the Arg64 variant had higher body mass index (BMI) (27.63 +/- 3.81 vs. 26.34 +/- 3.57 kg m-2, P=0.049) and total cholesterol (5.85 +/- 1.45 vs. 5.28 +/- 1.06 mmol L-1; P=0.011) compared with wild-type individuals. Logistic regression analysis, revealed that the risk of overweight was two times higher in male carriers of the Arg64 allele. In women, the Arg64 variant was only associated with higher fasting glucose (P=0.031). These genotype effects persisted after adjustment for age, genetic and life-style variables. For the LPL polymorphism, the H-/H- genotype was associated with lower BMI and with lower risk of overweight (OR: 0.49; 95% CI: 0.30-0.81) in both men and women. However, after adjustment for covariates, these associations only remained statistically significant (P < 0.02) in women. Moreover, in women, a statistically significant interaction (P=0.026) between the LPL and the ADRB3 gene loci in determining BMI was found. Thus, the Arg64 allele was associated with a higher BMI only in H+/H+ women. The Trp64Arg mutation was associated with BMI and lipids in men. In women, an additional gene-gene interaction with the LPL-HindIII polymorphism may explain the results.