1.The application of multifactor dimensionality reduction for detecting gene-gene interactions.
Xun TANG ; Na LI ; Yong-hua HU
Chinese Journal of Epidemiology 2006;27(5):437-441
OBJECTIVETo introduce the application of Multifactor Dimensionality Reduction (MDR) method for detecting gene-gene interactions in genetic case-control studies.
METHODSA brief overview on basic steps involved in the implementation, theoretical details, available software as well as the use and features of the MDR method were discussed based on a practical research case.
RESULTSAdvantages of MDR were compared to the conventional statistical approaches, showing that MDR method was a novel, nonparametric, genetic model-free approach that was developed specifically for detecting gene-gene interactions. Theoretical and empirical studies suggested that MDR was having reasonable power for detecting gene-gene interactions. Applications of MDR method had found the evidence of gene-gene interactions in several diseases such as sporadic breast cancer, atrial fibrillation and essential hypertension.
CONCLUSIONMDR method could be used for detecting gene-gene interactions in genetic case-control studies as having great advantages versus the conventional statistical approaches.
Epistasis, Genetic ; Models, Theoretical ; Software
2.Fine mapping of multiple interacting quantitative trait loci using combined linkage disequilibrium and linkage information.
Journal of Zhejiang University. Science. B 2007;8(11):787-791
Quantitative trait loci (QTL) and their additive, dominance and epistatic effects play a critical role in complex trait variation. It is often infeasible to detect multiple interacting QTL due to main effects often being confounded by interaction effects. Positioning interacting QTL within a small region is even more difficult. We present a variance component approach nested in an empirical Bayesian method, which simultaneously takes into account additive, dominance and epistatic effects due to multiple interacting QTL. The covariance structure used in the variance component approach is based on combined linkage disequilibrium and linkage (LDL) information. In a simulation study where there are complex epistatic interactions between QTL, it is possible to simultaneously fine map interacting QTL using the proposed approach. The present method combined with LDL information can efficiently detect QTL and their dominance and epistatic effects, making it possible to simultaneously fine map main and epistatic QTL.
Chromosome Mapping
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Epistasis, Genetic
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Genetic Linkage
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Humans
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Linkage Disequilibrium
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Monte Carlo Method
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Quantitative Trait Loci
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genetics
3.Identification of gene-gene interactions related to the etiology of complex disease: a multifactor dimensionality reduction-genotype pedigree disequilibrium test.
Na LI ; Xun TANG ; Da-fang CHEN ; Yong-hua HU
Chinese Journal of Epidemiology 2007;28(10):1036-1040
UNLABELLEDTo introduce the application of a multifactor dimensionality reduction-genotype pedigree disequilibrium test (MDR-PDT) for detecting gene-gene interactions in the etiology of complex disease. A brief overview on the basic theory, implementing steps and features of MDR-PDT were described, and a practical research case was demonstrated to application of MDR-PDT in nuclear family studies. The MDR-PDT approach was the extension or development of conventional MDR method which could be used for detecting gene-gene interactions in families of diverse structure.
CONCLUSIONMDR-PDT was a new nonparametric and model-free method which might use additional family members in the nuclear families and had a good power to identify gene-gene interactions.
Epistasis, Genetic ; Genetic Predisposition to Disease ; Genotype ; Humans ; Linkage Disequilibrium ; Pedigree ; Statistics, Nonparametric
4.Associations of Crohn's disease with DR4 and DR5 gene polymorphisms.
Xinxin LIN ; Lingxiang JIN ; Chenwei PAN ; Shuzi ZHENG ; Daguan ZHANG ; Xiuqing LIN ; Ran DING ; Lijia JIANG ; Yi JIANG
Chinese Journal of Medical Genetics 2015;32(5):715-722
OBJECTIVETo assess the associations of death receptor DR4 and DR5 gene polymorphisms with Crohn's disease (CD).
METHODSA total of 295 CD patients and 490 healthy controls were recruited. Three single nucleotide polymorphisms (SNPs) of the DR4 (rs13278062, rs20575) and DR5 (rs1047266) genes were determined with a SNaPshot method. Unconditional logistic regression analysis was carried out for determining the allelic and genotypic differences of the three SNPs between CD patients and the controls, as well as the influence of the DR4 and DR5 gene polymorphisms on the clinical features of CD patients. Linkage disequilibrium and haplotype analysis were calculated by haplotype 4.2 and R language software. A gene-gene interaction model was established to analyze whether the three SNPs can exert a synergistic effect on the susceptibility to CD.
RESULTSThe mutant allele (T) and genotype (GT+TT) of DR4 (rs13278062) were increased among CD patients compared to the controls (37.12% vs. 32.04%, P = 0.040, 95%CI: 1.010-1.550; 62.71% vs. 54.90%, P = 0.032, 95%CI: 1.028-1.855, respectively). However, the allelic and genotypic frequencies of DR4 (rs20575) and DR5 (rs1047266) did not differ between the two groups (all P > 0.05). Based on the Montreal Classification Standards, the CD patients were stratified by locations and behaviors of the disease. After multiple comparison correction (P < 0.0125), compared to ileocolonic CD patients respectively, the mutant allele (T) and genotype (GT+TT) of the rs13278062 polymorphism were significantly increased in colonic CD patients (41.04% vs. 25.64%, P = 0.002, 95%CI: 0.315-0.778; 66.04% vs. 41.03%, P = 0.001, 95%CI: 0.196-0.655, respectively) and terminal ileum CD patients (41.44% vs. 25.64%, P = 0.002, 95%CI: 0.311-0.762; 74.77% vs. 41.03%, P < 0.001, 95%CI: 0.126-0.437, respectively). In comparison to penetrating CD patients, the mutant allele (T) and genotype (GT+TT) of DR4 (rs13278062) were significantly decreased in stricturing CD patients (32.29% vs. 48.91%, P = 0.007, 95%CI: 0.300-0.828; 57.29% vs. 86.96%, P = 0.001, 95%CI: 0.078-0.520, respectively). A similar conclusion was drawn for the mutant genotype (GT+TT) of DR4 (rs13278062) in non-stricturing, non-penetrating CD patients (58.82% vs. 86.96%, P = 0.001, 95%CI: 0.086-0.536). Haplotype analysis indicated that the CT haplotype formed by rs20575 and rs13278062 was increased in CD patients compared to the controls (37.1% vs. 31.8%, P = 0.029, OR=1.279, 95%CI: 1.022-1.600). The outcome of a gene-gene interaction model indicated that the mutant genotype (GT+TT) of DR4 (rs13278062) and mutant genotype (CT+TT) of DR5 (rs1047266) may play a negatively synergistic role in CD patients (B = - 0.483, OR = 0.617, P = 0.030).
CONCLUSIONThe rs13278062 polymorphism of the DR4 gene not only can confer an increased risk for CD, but may also influence the location of the lesions and the disease behaviors. The CT haplotype formed by rs20575 and rs13278062 may be an independent risk factor for CD. Furthermore, the mutant genotype (GT+TT) of DR4 (rs13278062) and mutant genotype (CT+TT) of DR5 (rs1047266) may exert a negative synergistic effect on CD.
Adult ; Crohn Disease ; genetics ; Epistasis, Genetic ; Female ; Genetic Predisposition to Disease ; Genotype ; Haplotypes ; Humans ; Male ; Middle Aged ; Polymorphism, Single Nucleotide ; Receptors, TNF-Related Apoptosis-Inducing Ligand ; genetics
5.Mechanism and methods to induce pluripotency.
Protein & Cell 2011;2(10):792-799
Pluripotent stem cells are able to self-renew indefinitely and differentiate into all types of cells in the body. They can thus be an inexhaustible source for future cell transplantation therapy to treat degenerative diseases which currently have no cure. However, non-autologous cells will cause immune rejection. Induced pluripotent stem cell (iPSC) technology can convert somatic cells to the pluripotent state, and therefore offers a solution to this problem. Since the first generation of iPSCs, there has been an explosion of relevant research, from which we have learned much about the genetic networks and epigenetic landscape of pluripotency, as well as how to manipulate genes, epigenetics, and microRNAs to obtain iPSCs. In this review, we focus on the mechanism of cellular reprogramming and current methods to induce pluripotency. We also highlight new problems emerging from iPSCs. Better understanding of the fundamental mechanisms underlying pluripotenty and refining the methodology of iPSC generation will have a significant impact on future development of regenerative medicine.
Animals
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Cell Culture Techniques
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Cell Differentiation
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Epistasis, Genetic
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Genetic Engineering
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Humans
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Induced Pluripotent Stem Cells
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cytology
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physiology
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RNA Interference
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Recombinant Proteins
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genetics
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metabolism
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Regenerative Medicine
6.Association between peroxisome proliferator-activated receptor and gene-gene interactions with the apolipoprotein A I/apolipoprotein B100 ratio.
Bo HAI ; Chuanmin NI ; Huijian XIE ; Zhirong GUO ; Ming WU ; Qiu CHEN ; Zhengyuan ZHOU ; Wei FAN ; Hui ZHOU
Chinese Journal of Cardiology 2015;43(4):328-333
OBJECTIVETo investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (PPARα, β, γ) with apolipoprotein A I/apolipoprotein B100 (ApoA I/ApoB100) ratio and the additional role of a gene-gene interactions among the 10 SNPs.
METHODSParticipants were recruited under the framework of the Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province (PMMJS) cohort population survey in the urban community of Jiangsu province of China.A total of 630 subjects were randomly selected and no individual was related.Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806 and rs4684847) were selected from the HapMap database,which covered PPARα, PPARβ and PPARγ. A linear regression model was used to analyze the relations between ten SNPs in the PPARs and ApoA I/ApoB100 ratio level. Mean difference and 95% CI were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR).
RESULTSAfter adjusting for age, gender, smoking status, alcohol consumption, occupational physical activity, high-fat diet as well as low-fiber diet, both rs1800206 and rs3856806 were significantly associated with a decreased level of ApoA I/ApoB100 ratio, mean difference (95% CI) values were -1.19 (-1.88 to -0.50) and -0.77 (-1.40 to -0.14). Whereas rs4253778 was significantly associated with an increased level of ApoA I/ApoB100 ratio, Mean difference (95% CI) values was 0.80 (0.08 to 1.52). GMDR analysis showed a significant gene-gene interaction among rs4253778, rs1800206 of PPARα, rs9794, rs2016520 of PPARβ and rs10865710, rs3856806, rs709158, rs1805192 of PPARγ for eight-dimension models (P = 0.01), in which prediction accuracy was 0.624 and cross-validation consistency was 7/10.
CONCLUSIONSThe rs1800206 of PPARα and rs3856806 of PPARγ are significantly associated with a decreased level of ApoA I/ApoB100 ratio while rs4253778 of PPARα is associated with an increased level of ApoA I/ApoB100 ratio. There is a gene-gene interaction between multiple SNPs.
Apolipoprotein A-I ; genetics ; Apolipoprotein B-100 ; genetics ; China ; Diet, High-Fat ; Epistasis, Genetic ; Gene Frequency ; Genotype ; Humans ; Metabolic Syndrome ; PPAR alpha ; genetics ; PPAR delta ; PPAR gamma ; genetics ; Polymorphism, Single Nucleotide
7.ITPKC and SLC11A1 Gene Polymorphisms and Gene-Gene Interactions in Korean Patients with Kawasaki Disease
Kyu Yeun KIM ; Yoon Sun BAE ; Woohyuk JI ; Dongjik SHIN ; Ho Seong KIM ; Dong Soo KIM
Yonsei Medical Journal 2018;59(1):119-127
PURPOSE: Kawasaki disease (KD) is an acute systemic vasculitis. Both the etiology of KD and the erythema of Bacille Calmette-Guérin (BCG) injection sites observed in the disease are poorly understood. We investigated the association between KD and single nucleotide polymorphisms (SNPs) in two candidate genes: inositol 1,4,5-triphosphate 3-kinase (ITPKC), a well-studied KD-associated gene, and solute carrier 11a1 (SLC11A1), which is associated with the hypersensitive reaction to the BCG strain in Koreans. MATERIALS AND METHODS: Associations between KD and SNPs in two genes were evaluated. Potential associations between BCG injection site erythema and SNPs in two genes were also evaluated. Gene-gene interactions between ITPKC and SLC11A1 in KD and BCG injection site erythema were also analyzed. RESULTS: Three tagging SNPs in ITPKC and five tagging SNPs in SLC11A1 were genotyped in 299 KD patients and 210 control children. SNP rs28493229 in ITPKC was associated with KD and coronary artery complications. SNP rs77624405 in SLC11A1 was associated with KD. Comparisons of KD patients with and without BCG injection site erythema revealed that SNP rs17235409 in SLC11A1 was associated with erythema; no erythema-associated SNPs in ITPKC were identified. Interactions between ITPKC rs28493229_GG and SLC11A1 rs17235409_GA and between ITPKC rs10420685_GG and SLC11A1 rs17235409_AA were strongly associated with BCG injection site erythema. CONCLUSION: This study identified several important polymorphisms in the ITPKC and SLC11A1 genes in Koreans. The genetic variants identified in this study affected KD and erythema of BCG injection sites independently and through gene-gene interactions. Also, the effects of the polymorphisms were age-dependent.
Asian Continental Ancestry Group/genetics
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BCG Vaccine/administration & dosage
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Case-Control Studies
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Cation Transport Proteins/genetics
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Child
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Child, Preschool
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Epistasis, Genetic
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Erythema/complications
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Female
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Genetic Association Studies
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Genetic Predisposition to Disease
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Humans
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Infant
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Male
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Mucocutaneous Lymph Node Syndrome/genetics
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Mutation Rate
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Phosphotransferases (Alcohol Group Acceptor)/genetics
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Polymorphism, Single Nucleotide/genetics
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Republic of Korea
8.Effects of PNPLA3, TM6SF2 gene polymorphisms and its interactions with smoking and alcohol drinking on hepatitis B virus-associated hepatocellular carcinoma.
L Q WANG ; W H GUO ; Z W GUO ; P QIN ; R ZHANG ; X M ZHU ; D W LIU
Chinese Journal of Epidemiology 2018;39(12):1611-1616
Objective: To explore the SNP effects of patatin-like phospholipase domain which containing 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2) gene, environmental effects of smoking, alcohol drinking and interaction between gene-gene, gene-environment and drinking-smoking on hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC). Methods: We collected anticoagulant peripheral blood from patients of HBV-HCC, chronic hepatitis B (CHB), liver cirrhosis (LC) and from healthy controls to detect the single nucleotide polymorphism (SNP) of patatin-like phospholipase domain containing 3 (PNPLA3) gene loci rs738409 and transmembrane 6 superfamily member 2 (TM6SF2) gene loci rs58542926, using the flight mass spectrometry method. The optimal assignment value of gene polymorphisms was defined by using the online SNP stats. Hardy-Weinberg (H-W) balance was tested for SNP. Effects of the genetic and environmental factors to HBV-HCC were analyzed by using the multiple classification logistic regression method. The gene-gene, gene-smoking and alcohol drinking interaction effects were investigated by Fork-Life analysis and binary logistic regression methods. Results: The frequency distribution of CHB group rs738409 loci seemed not in conformity with the H-W balance (χ(2)=11.980, P<0.005). Two loci frequency distributions in the other groups were all in accordandce with the H-W balance. After adjusting for influences on age and sex and comparing to the healthy group, the rs58542926 mutation appeared as OR=1.659, 95%CI: 1.026-2.684, P=0.039, in the HBV-HCC group. When comparing to CHB group, the HBV-HCC group presented that drinking as OR=1.680, 95%CI: 1.121-2.519, P=0.012. When comparing to the LC group, the ORs of drinking and smoking were 1.539 (1.071-2.213) and 1.453 (1.005-2.099) respectively, in the HBV-HCC group. When comparing to the CHB+LC group, interactions between the HBV-HCC group were found rs738409 and rs58542926 on additive model OR=1.548 (U=1.885, P=0.029) and OR=1.658 (P=0.024) on logistic regression model while drinking was rs738409 on interaction additive model with OR=1.811(U=1.965, P=0.024). As for drinking and mutation of rs738409, the multiplication model of logistic regression showed no statistically significant differences. Interaction between smoking and drinking appeared as OR=1.756 (P<0.001) in the logistics regression multiplication model. Conclusions: Factors as mutation of TM6SF2, smoking and drinking all appeared as risk factors for HBV-HCC. Mutations of both PNPLA3 and TM6SF2, together with smoking and drinking all served as risk factors for HBV-HCC. However, the mutation of single PNPLA3 appeared as a protective factor on HBV-HCC.
Alcohol Drinking/adverse effects*
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Carcinoma, Hepatocellular/virology*
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Case-Control Studies
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Epistasis, Genetic
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Gene-Environment Interaction
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Genetic Predisposition to Disease
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Genotype
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Hepatitis B virus
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Hepatitis B, Chronic
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Humans
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Lipase/genetics*
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Liver Cirrhosis, Alcoholic/complications*
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Liver Neoplasms/virology*
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Membrane Proteins/genetics*
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Polymorphism, Single Nucleotide
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Smoking/adverse effects*